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網絡結構.txt
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網絡結構.txt
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x_train shape: (206, 64, 64, 3)
206 train samples
21 test samples
y_train shape: (206,)
__________________________________________________________________________________________________
Layer (type) Output Shape Param # Connected to
==================================================================================================
input_1 (InputLayer) [(None, 64, 64, 3)] 0
__________________________________________________________________________________________________
batch_normalization (BatchNorma (None, 64, 64, 3) 12 input_1[0][0]
__________________________________________________________________________________________________
activation (Activation) (None, 64, 64, 3) 0 batch_normalization[0][0]
__________________________________________________________________________________________________
conv2d (Conv2D) (None, 64, 64, 24) 672 activation[0][0]
__________________________________________________________________________________________________
concatenate (Concatenate) (None, 64, 64, 27) 0 input_1[0][0]
conv2d[0][0]
__________________________________________________________________________________________________
batch_normalization_1 (BatchNor (None, 64, 64, 27) 108 concatenate[0][0]
__________________________________________________________________________________________________
activation_1 (Activation) (None, 64, 64, 27) 0 batch_normalization_1[0][0]
__________________________________________________________________________________________________
conv2d_1 (Conv2D) (None, 64, 64, 48) 1344 activation_1[0][0]
__________________________________________________________________________________________________
dropout (Dropout) (None, 64, 64, 48) 0 conv2d_1[0][0]
__________________________________________________________________________________________________
batch_normalization_2 (BatchNor (None, 64, 64, 48) 192 dropout[0][0]
__________________________________________________________________________________________________
activation_2 (Activation) (None, 64, 64, 48) 0 batch_normalization_2[0][0]
__________________________________________________________________________________________________
conv2d_2 (Conv2D) (None, 64, 64, 12) 5196 activation_2[0][0]
__________________________________________________________________________________________________
dropout_1 (Dropout) (None, 64, 64, 12) 0 conv2d_2[0][0]
__________________________________________________________________________________________________
concatenate_1 (Concatenate) (None, 64, 64, 39) 0 concatenate[0][0]
dropout_1[0][0]
__________________________________________________________________________________________________
batch_normalization_3 (BatchNor (None, 64, 64, 39) 156 concatenate_1[0][0]
__________________________________________________________________________________________________
activation_3 (Activation) (None, 64, 64, 39) 0 batch_normalization_3[0][0]
__________________________________________________________________________________________________
conv2d_3 (Conv2D) (None, 64, 64, 48) 1920 activation_3[0][0]
__________________________________________________________________________________________________
dropout_2 (Dropout) (None, 64, 64, 48) 0 conv2d_3[0][0]
__________________________________________________________________________________________________
batch_normalization_4 (BatchNor (None, 64, 64, 48) 192 dropout_2[0][0]
__________________________________________________________________________________________________
activation_4 (Activation) (None, 64, 64, 48) 0 batch_normalization_4[0][0]
__________________________________________________________________________________________________
conv2d_4 (Conv2D) (None, 64, 64, 12) 5196 activation_4[0][0]
__________________________________________________________________________________________________
dropout_3 (Dropout) (None, 64, 64, 12) 0 conv2d_4[0][0]
__________________________________________________________________________________________________
concatenate_2 (Concatenate) (None, 64, 64, 51) 0 concatenate_1[0][0]
dropout_3[0][0]
__________________________________________________________________________________________________
batch_normalization_5 (BatchNor (None, 64, 64, 51) 204 concatenate_2[0][0]
__________________________________________________________________________________________________
activation_5 (Activation) (None, 64, 64, 51) 0 batch_normalization_5[0][0]
__________________________________________________________________________________________________
conv2d_5 (Conv2D) (None, 64, 64, 48) 2496 activation_5[0][0]
__________________________________________________________________________________________________
dropout_4 (Dropout) (None, 64, 64, 48) 0 conv2d_5[0][0]
__________________________________________________________________________________________________
batch_normalization_6 (BatchNor (None, 64, 64, 48) 192 dropout_4[0][0]
__________________________________________________________________________________________________
activation_6 (Activation) (None, 64, 64, 48) 0 batch_normalization_6[0][0]
__________________________________________________________________________________________________
conv2d_6 (Conv2D) (None, 64, 64, 12) 5196 activation_6[0][0]
__________________________________________________________________________________________________
dropout_5 (Dropout) (None, 64, 64, 12) 0 conv2d_6[0][0]
__________________________________________________________________________________________________
concatenate_3 (Concatenate) (None, 64, 64, 63) 0 concatenate_2[0][0]
dropout_5[0][0]
__________________________________________________________________________________________________
batch_normalization_7 (BatchNor (None, 64, 64, 63) 252 concatenate_3[0][0]
__________________________________________________________________________________________________
activation_7 (Activation) (None, 64, 64, 63) 0 batch_normalization_7[0][0]
__________________________________________________________________________________________________
conv2d_7 (Conv2D) (None, 64, 64, 48) 3072 activation_7[0][0]
__________________________________________________________________________________________________
dropout_6 (Dropout) (None, 64, 64, 48) 0 conv2d_7[0][0]
__________________________________________________________________________________________________
batch_normalization_8 (BatchNor (None, 64, 64, 48) 192 dropout_6[0][0]
__________________________________________________________________________________________________
activation_8 (Activation) (None, 64, 64, 48) 0 batch_normalization_8[0][0]
__________________________________________________________________________________________________
conv2d_8 (Conv2D) (None, 64, 64, 12) 5196 activation_8[0][0]
__________________________________________________________________________________________________
dropout_7 (Dropout) (None, 64, 64, 12) 0 conv2d_8[0][0]
__________________________________________________________________________________________________
concatenate_4 (Concatenate) (None, 64, 64, 75) 0 concatenate_3[0][0]
dropout_7[0][0]
__________________________________________________________________________________________________
batch_normalization_9 (BatchNor (None, 64, 64, 75) 300 concatenate_4[0][0]
__________________________________________________________________________________________________
activation_9 (Activation) (None, 64, 64, 75) 0 batch_normalization_9[0][0]
__________________________________________________________________________________________________
conv2d_9 (Conv2D) (None, 64, 64, 48) 3648 activation_9[0][0]
__________________________________________________________________________________________________
dropout_8 (Dropout) (None, 64, 64, 48) 0 conv2d_9[0][0]
__________________________________________________________________________________________________
batch_normalization_10 (BatchNo (None, 64, 64, 48) 192 dropout_8[0][0]
__________________________________________________________________________________________________
activation_10 (Activation) (None, 64, 64, 48) 0 batch_normalization_10[0][0]
__________________________________________________________________________________________________
conv2d_10 (Conv2D) (None, 64, 64, 12) 5196 activation_10[0][0]
__________________________________________________________________________________________________
dropout_9 (Dropout) (None, 64, 64, 12) 0 conv2d_10[0][0]
__________________________________________________________________________________________________
concatenate_5 (Concatenate) (None, 64, 64, 87) 0 concatenate_4[0][0]
dropout_9[0][0]
__________________________________________________________________________________________________
batch_normalization_11 (BatchNo (None, 64, 64, 87) 348 concatenate_5[0][0]
__________________________________________________________________________________________________
activation_11 (Activation) (None, 64, 64, 87) 0 batch_normalization_11[0][0]
__________________________________________________________________________________________________
conv2d_11 (Conv2D) (None, 64, 64, 48) 4224 activation_11[0][0]
__________________________________________________________________________________________________
dropout_10 (Dropout) (None, 64, 64, 48) 0 conv2d_11[0][0]
__________________________________________________________________________________________________
batch_normalization_12 (BatchNo (None, 64, 64, 48) 192 dropout_10[0][0]
__________________________________________________________________________________________________
activation_12 (Activation) (None, 64, 64, 48) 0 batch_normalization_12[0][0]
__________________________________________________________________________________________________
conv2d_12 (Conv2D) (None, 64, 64, 12) 5196 activation_12[0][0]
__________________________________________________________________________________________________
dropout_11 (Dropout) (None, 64, 64, 12) 0 conv2d_12[0][0]
__________________________________________________________________________________________________
concatenate_6 (Concatenate) (None, 64, 64, 99) 0 concatenate_5[0][0]
dropout_11[0][0]
__________________________________________________________________________________________________
batch_normalization_13 (BatchNo (None, 64, 64, 99) 396 concatenate_6[0][0]
__________________________________________________________________________________________________
activation_13 (Activation) (None, 64, 64, 99) 0 batch_normalization_13[0][0]
__________________________________________________________________________________________________
conv2d_13 (Conv2D) (None, 64, 64, 48) 4800 activation_13[0][0]
__________________________________________________________________________________________________
dropout_12 (Dropout) (None, 64, 64, 48) 0 conv2d_13[0][0]
__________________________________________________________________________________________________
batch_normalization_14 (BatchNo (None, 64, 64, 48) 192 dropout_12[0][0]
__________________________________________________________________________________________________
activation_14 (Activation) (None, 64, 64, 48) 0 batch_normalization_14[0][0]
__________________________________________________________________________________________________
conv2d_14 (Conv2D) (None, 64, 64, 12) 5196 activation_14[0][0]
__________________________________________________________________________________________________
dropout_13 (Dropout) (None, 64, 64, 12) 0 conv2d_14[0][0]
__________________________________________________________________________________________________
concatenate_7 (Concatenate) (None, 64, 64, 111) 0 concatenate_6[0][0]
dropout_13[0][0]
__________________________________________________________________________________________________
batch_normalization_15 (BatchNo (None, 64, 64, 111) 444 concatenate_7[0][0]
__________________________________________________________________________________________________
activation_15 (Activation) (None, 64, 64, 111) 0 batch_normalization_15[0][0]
__________________________________________________________________________________________________
conv2d_15 (Conv2D) (None, 64, 64, 48) 5376 activation_15[0][0]
__________________________________________________________________________________________________
dropout_14 (Dropout) (None, 64, 64, 48) 0 conv2d_15[0][0]
__________________________________________________________________________________________________
batch_normalization_16 (BatchNo (None, 64, 64, 48) 192 dropout_14[0][0]
__________________________________________________________________________________________________
activation_16 (Activation) (None, 64, 64, 48) 0 batch_normalization_16[0][0]
__________________________________________________________________________________________________
conv2d_16 (Conv2D) (None, 64, 64, 12) 5196 activation_16[0][0]
__________________________________________________________________________________________________
dropout_15 (Dropout) (None, 64, 64, 12) 0 conv2d_16[0][0]
__________________________________________________________________________________________________
concatenate_8 (Concatenate) (None, 64, 64, 123) 0 concatenate_7[0][0]
dropout_15[0][0]
__________________________________________________________________________________________________
batch_normalization_17 (BatchNo (None, 64, 64, 123) 492 concatenate_8[0][0]
__________________________________________________________________________________________________
activation_17 (Activation) (None, 64, 64, 123) 0 batch_normalization_17[0][0]
__________________________________________________________________________________________________
conv2d_17 (Conv2D) (None, 64, 64, 48) 5952 activation_17[0][0]
__________________________________________________________________________________________________
dropout_16 (Dropout) (None, 64, 64, 48) 0 conv2d_17[0][0]
__________________________________________________________________________________________________
batch_normalization_18 (BatchNo (None, 64, 64, 48) 192 dropout_16[0][0]
__________________________________________________________________________________________________
activation_18 (Activation) (None, 64, 64, 48) 0 batch_normalization_18[0][0]
__________________________________________________________________________________________________
conv2d_18 (Conv2D) (None, 64, 64, 12) 5196 activation_18[0][0]
__________________________________________________________________________________________________
dropout_17 (Dropout) (None, 64, 64, 12) 0 conv2d_18[0][0]
__________________________________________________________________________________________________
concatenate_9 (Concatenate) (None, 64, 64, 135) 0 concatenate_8[0][0]
dropout_17[0][0]
__________________________________________________________________________________________________
batch_normalization_19 (BatchNo (None, 64, 64, 135) 540 concatenate_9[0][0]
__________________________________________________________________________________________________
activation_19 (Activation) (None, 64, 64, 135) 0 batch_normalization_19[0][0]
__________________________________________________________________________________________________
conv2d_19 (Conv2D) (None, 64, 64, 48) 6528 activation_19[0][0]
__________________________________________________________________________________________________
dropout_18 (Dropout) (None, 64, 64, 48) 0 conv2d_19[0][0]
__________________________________________________________________________________________________
batch_normalization_20 (BatchNo (None, 64, 64, 48) 192 dropout_18[0][0]
__________________________________________________________________________________________________
activation_20 (Activation) (None, 64, 64, 48) 0 batch_normalization_20[0][0]
__________________________________________________________________________________________________
conv2d_20 (Conv2D) (None, 64, 64, 12) 5196 activation_20[0][0]
__________________________________________________________________________________________________
dropout_19 (Dropout) (None, 64, 64, 12) 0 conv2d_20[0][0]
__________________________________________________________________________________________________
concatenate_10 (Concatenate) (None, 64, 64, 147) 0 concatenate_9[0][0]
dropout_19[0][0]
__________________________________________________________________________________________________
batch_normalization_21 (BatchNo (None, 64, 64, 147) 588 concatenate_10[0][0]
__________________________________________________________________________________________________
activation_21 (Activation) (None, 64, 64, 147) 0 batch_normalization_21[0][0]
__________________________________________________________________________________________________
conv2d_21 (Conv2D) (None, 64, 64, 48) 7104 activation_21[0][0]
__________________________________________________________________________________________________
dropout_20 (Dropout) (None, 64, 64, 48) 0 conv2d_21[0][0]
__________________________________________________________________________________________________
batch_normalization_22 (BatchNo (None, 64, 64, 48) 192 dropout_20[0][0]
__________________________________________________________________________________________________
activation_22 (Activation) (None, 64, 64, 48) 0 batch_normalization_22[0][0]
__________________________________________________________________________________________________
conv2d_22 (Conv2D) (None, 64, 64, 12) 5196 activation_22[0][0]
__________________________________________________________________________________________________
dropout_21 (Dropout) (None, 64, 64, 12) 0 conv2d_22[0][0]
__________________________________________________________________________________________________
concatenate_11 (Concatenate) (None, 64, 64, 159) 0 concatenate_10[0][0]
dropout_21[0][0]
__________________________________________________________________________________________________
batch_normalization_23 (BatchNo (None, 64, 64, 159) 636 concatenate_11[0][0]
__________________________________________________________________________________________________
activation_23 (Activation) (None, 64, 64, 159) 0 batch_normalization_23[0][0]
__________________________________________________________________________________________________
conv2d_23 (Conv2D) (None, 64, 64, 48) 7680 activation_23[0][0]
__________________________________________________________________________________________________
dropout_22 (Dropout) (None, 64, 64, 48) 0 conv2d_23[0][0]
__________________________________________________________________________________________________
batch_normalization_24 (BatchNo (None, 64, 64, 48) 192 dropout_22[0][0]
__________________________________________________________________________________________________
activation_24 (Activation) (None, 64, 64, 48) 0 batch_normalization_24[0][0]
__________________________________________________________________________________________________
conv2d_24 (Conv2D) (None, 64, 64, 12) 5196 activation_24[0][0]
__________________________________________________________________________________________________
dropout_23 (Dropout) (None, 64, 64, 12) 0 conv2d_24[0][0]
__________________________________________________________________________________________________
concatenate_12 (Concatenate) (None, 64, 64, 171) 0 concatenate_11[0][0]
dropout_23[0][0]
__________________________________________________________________________________________________
batch_normalization_25 (BatchNo (None, 64, 64, 171) 684 concatenate_12[0][0]
__________________________________________________________________________________________________
activation_25 (Activation) (None, 64, 64, 171) 0 batch_normalization_25[0][0]
__________________________________________________________________________________________________
conv2d_25 (Conv2D) (None, 64, 64, 48) 8256 activation_25[0][0]
__________________________________________________________________________________________________
dropout_24 (Dropout) (None, 64, 64, 48) 0 conv2d_25[0][0]
__________________________________________________________________________________________________
batch_normalization_26 (BatchNo (None, 64, 64, 48) 192 dropout_24[0][0]
__________________________________________________________________________________________________
activation_26 (Activation) (None, 64, 64, 48) 0 batch_normalization_26[0][0]
__________________________________________________________________________________________________
conv2d_26 (Conv2D) (None, 64, 64, 12) 5196 activation_26[0][0]
__________________________________________________________________________________________________
dropout_25 (Dropout) (None, 64, 64, 12) 0 conv2d_26[0][0]
__________________________________________________________________________________________________
concatenate_13 (Concatenate) (None, 64, 64, 183) 0 concatenate_12[0][0]
dropout_25[0][0]
__________________________________________________________________________________________________
batch_normalization_27 (BatchNo (None, 64, 64, 183) 732 concatenate_13[0][0]
__________________________________________________________________________________________________
activation_27 (Activation) (None, 64, 64, 183) 0 batch_normalization_27[0][0]
__________________________________________________________________________________________________
conv2d_27 (Conv2D) (None, 64, 64, 48) 8832 activation_27[0][0]
__________________________________________________________________________________________________
dropout_26 (Dropout) (None, 64, 64, 48) 0 conv2d_27[0][0]
__________________________________________________________________________________________________
batch_normalization_28 (BatchNo (None, 64, 64, 48) 192 dropout_26[0][0]
__________________________________________________________________________________________________
activation_28 (Activation) (None, 64, 64, 48) 0 batch_normalization_28[0][0]
__________________________________________________________________________________________________
conv2d_28 (Conv2D) (None, 64, 64, 12) 5196 activation_28[0][0]
__________________________________________________________________________________________________
dropout_27 (Dropout) (None, 64, 64, 12) 0 conv2d_28[0][0]
__________________________________________________________________________________________________
concatenate_14 (Concatenate) (None, 64, 64, 195) 0 concatenate_13[0][0]
dropout_27[0][0]
__________________________________________________________________________________________________
batch_normalization_29 (BatchNo (None, 64, 64, 195) 780 concatenate_14[0][0]
__________________________________________________________________________________________________
activation_29 (Activation) (None, 64, 64, 195) 0 batch_normalization_29[0][0]
__________________________________________________________________________________________________
conv2d_29 (Conv2D) (None, 64, 64, 48) 9408 activation_29[0][0]
__________________________________________________________________________________________________
dropout_28 (Dropout) (None, 64, 64, 48) 0 conv2d_29[0][0]
__________________________________________________________________________________________________
batch_normalization_30 (BatchNo (None, 64, 64, 48) 192 dropout_28[0][0]
__________________________________________________________________________________________________
activation_30 (Activation) (None, 64, 64, 48) 0 batch_normalization_30[0][0]
__________________________________________________________________________________________________
conv2d_30 (Conv2D) (None, 64, 64, 12) 5196 activation_30[0][0]
__________________________________________________________________________________________________
dropout_29 (Dropout) (None, 64, 64, 12) 0 conv2d_30[0][0]
__________________________________________________________________________________________________
concatenate_15 (Concatenate) (None, 64, 64, 207) 0 concatenate_14[0][0]
dropout_29[0][0]
__________________________________________________________________________________________________
batch_normalization_31 (BatchNo (None, 64, 64, 207) 828 concatenate_15[0][0]
__________________________________________________________________________________________________
activation_31 (Activation) (None, 64, 64, 207) 0 batch_normalization_31[0][0]
__________________________________________________________________________________________________
conv2d_31 (Conv2D) (None, 64, 64, 48) 9984 activation_31[0][0]
__________________________________________________________________________________________________
dropout_30 (Dropout) (None, 64, 64, 48) 0 conv2d_31[0][0]
__________________________________________________________________________________________________
batch_normalization_32 (BatchNo (None, 64, 64, 48) 192 dropout_30[0][0]
__________________________________________________________________________________________________
activation_32 (Activation) (None, 64, 64, 48) 0 batch_normalization_32[0][0]
__________________________________________________________________________________________________
conv2d_32 (Conv2D) (None, 64, 64, 12) 5196 activation_32[0][0]
__________________________________________________________________________________________________
dropout_31 (Dropout) (None, 64, 64, 12) 0 conv2d_32[0][0]
__________________________________________________________________________________________________
concatenate_16 (Concatenate) (None, 64, 64, 219) 0 concatenate_15[0][0]
dropout_31[0][0]
__________________________________________________________________________________________________
batch_normalization_33 (BatchNo (None, 64, 64, 219) 876 concatenate_16[0][0]
__________________________________________________________________________________________________
conv2d_33 (Conv2D) (None, 64, 64, 108) 23760 batch_normalization_33[0][0]
__________________________________________________________________________________________________
dropout_32 (Dropout) (None, 64, 64, 108) 0 conv2d_33[0][0]
__________________________________________________________________________________________________
average_pooling2d (AveragePooli (None, 32, 32, 108) 0 dropout_32[0][0]
__________________________________________________________________________________________________
batch_normalization_34 (BatchNo (None, 32, 32, 108) 432 average_pooling2d[0][0]
__________________________________________________________________________________________________
activation_33 (Activation) (None, 32, 32, 108) 0 batch_normalization_34[0][0]
__________________________________________________________________________________________________
conv2d_34 (Conv2D) (None, 32, 32, 48) 5232 activation_33[0][0]
__________________________________________________________________________________________________
dropout_33 (Dropout) (None, 32, 32, 48) 0 conv2d_34[0][0]
__________________________________________________________________________________________________
batch_normalization_35 (BatchNo (None, 32, 32, 48) 192 dropout_33[0][0]
__________________________________________________________________________________________________
activation_34 (Activation) (None, 32, 32, 48) 0 batch_normalization_35[0][0]
__________________________________________________________________________________________________
conv2d_35 (Conv2D) (None, 32, 32, 12) 5196 activation_34[0][0]
__________________________________________________________________________________________________
dropout_34 (Dropout) (None, 32, 32, 12) 0 conv2d_35[0][0]
__________________________________________________________________________________________________
concatenate_17 (Concatenate) (None, 32, 32, 120) 0 average_pooling2d[0][0]
dropout_34[0][0]
__________________________________________________________________________________________________
batch_normalization_36 (BatchNo (None, 32, 32, 120) 480 concatenate_17[0][0]
__________________________________________________________________________________________________
activation_35 (Activation) (None, 32, 32, 120) 0 batch_normalization_36[0][0]
__________________________________________________________________________________________________
conv2d_36 (Conv2D) (None, 32, 32, 48) 5808 activation_35[0][0]
__________________________________________________________________________________________________
dropout_35 (Dropout) (None, 32, 32, 48) 0 conv2d_36[0][0]
__________________________________________________________________________________________________
batch_normalization_37 (BatchNo (None, 32, 32, 48) 192 dropout_35[0][0]
__________________________________________________________________________________________________
activation_36 (Activation) (None, 32, 32, 48) 0 batch_normalization_37[0][0]
__________________________________________________________________________________________________
conv2d_37 (Conv2D) (None, 32, 32, 12) 5196 activation_36[0][0]
__________________________________________________________________________________________________
dropout_36 (Dropout) (None, 32, 32, 12) 0 conv2d_37[0][0]
__________________________________________________________________________________________________
concatenate_18 (Concatenate) (None, 32, 32, 132) 0 concatenate_17[0][0]
dropout_36[0][0]
__________________________________________________________________________________________________
batch_normalization_38 (BatchNo (None, 32, 32, 132) 528 concatenate_18[0][0]
__________________________________________________________________________________________________
activation_37 (Activation) (None, 32, 32, 132) 0 batch_normalization_38[0][0]
__________________________________________________________________________________________________
conv2d_38 (Conv2D) (None, 32, 32, 48) 6384 activation_37[0][0]
__________________________________________________________________________________________________
dropout_37 (Dropout) (None, 32, 32, 48) 0 conv2d_38[0][0]
__________________________________________________________________________________________________
batch_normalization_39 (BatchNo (None, 32, 32, 48) 192 dropout_37[0][0]
__________________________________________________________________________________________________
activation_38 (Activation) (None, 32, 32, 48) 0 batch_normalization_39[0][0]
__________________________________________________________________________________________________
conv2d_39 (Conv2D) (None, 32, 32, 12) 5196 activation_38[0][0]
__________________________________________________________________________________________________
dropout_38 (Dropout) (None, 32, 32, 12) 0 conv2d_39[0][0]
__________________________________________________________________________________________________
concatenate_19 (Concatenate) (None, 32, 32, 144) 0 concatenate_18[0][0]
dropout_38[0][0]
__________________________________________________________________________________________________
batch_normalization_40 (BatchNo (None, 32, 32, 144) 576 concatenate_19[0][0]
__________________________________________________________________________________________________
activation_39 (Activation) (None, 32, 32, 144) 0 batch_normalization_40[0][0]
__________________________________________________________________________________________________
conv2d_40 (Conv2D) (None, 32, 32, 48) 6960 activation_39[0][0]
__________________________________________________________________________________________________
dropout_39 (Dropout) (None, 32, 32, 48) 0 conv2d_40[0][0]
__________________________________________________________________________________________________
batch_normalization_41 (BatchNo (None, 32, 32, 48) 192 dropout_39[0][0]
__________________________________________________________________________________________________
activation_40 (Activation) (None, 32, 32, 48) 0 batch_normalization_41[0][0]
__________________________________________________________________________________________________
conv2d_41 (Conv2D) (None, 32, 32, 12) 5196 activation_40[0][0]
__________________________________________________________________________________________________
dropout_40 (Dropout) (None, 32, 32, 12) 0 conv2d_41[0][0]
__________________________________________________________________________________________________
concatenate_20 (Concatenate) (None, 32, 32, 156) 0 concatenate_19[0][0]
dropout_40[0][0]
__________________________________________________________________________________________________
batch_normalization_42 (BatchNo (None, 32, 32, 156) 624 concatenate_20[0][0]
__________________________________________________________________________________________________
activation_41 (Activation) (None, 32, 32, 156) 0 batch_normalization_42[0][0]
__________________________________________________________________________________________________
conv2d_42 (Conv2D) (None, 32, 32, 48) 7536 activation_41[0][0]
__________________________________________________________________________________________________
dropout_41 (Dropout) (None, 32, 32, 48) 0 conv2d_42[0][0]
__________________________________________________________________________________________________
batch_normalization_43 (BatchNo (None, 32, 32, 48) 192 dropout_41[0][0]
__________________________________________________________________________________________________
activation_42 (Activation) (None, 32, 32, 48) 0 batch_normalization_43[0][0]
__________________________________________________________________________________________________
conv2d_43 (Conv2D) (None, 32, 32, 12) 5196 activation_42[0][0]
__________________________________________________________________________________________________
dropout_42 (Dropout) (None, 32, 32, 12) 0 conv2d_43[0][0]
__________________________________________________________________________________________________
concatenate_21 (Concatenate) (None, 32, 32, 168) 0 concatenate_20[0][0]
dropout_42[0][0]
__________________________________________________________________________________________________
batch_normalization_44 (BatchNo (None, 32, 32, 168) 672 concatenate_21[0][0]
__________________________________________________________________________________________________
activation_43 (Activation) (None, 32, 32, 168) 0 batch_normalization_44[0][0]
__________________________________________________________________________________________________
conv2d_44 (Conv2D) (None, 32, 32, 48) 8112 activation_43[0][0]
__________________________________________________________________________________________________
dropout_43 (Dropout) (None, 32, 32, 48) 0 conv2d_44[0][0]
__________________________________________________________________________________________________
batch_normalization_45 (BatchNo (None, 32, 32, 48) 192 dropout_43[0][0]
__________________________________________________________________________________________________
activation_44 (Activation) (None, 32, 32, 48) 0 batch_normalization_45[0][0]
__________________________________________________________________________________________________
conv2d_45 (Conv2D) (None, 32, 32, 12) 5196 activation_44[0][0]
__________________________________________________________________________________________________
dropout_44 (Dropout) (None, 32, 32, 12) 0 conv2d_45[0][0]
__________________________________________________________________________________________________
concatenate_22 (Concatenate) (None, 32, 32, 180) 0 concatenate_21[0][0]
dropout_44[0][0]
__________________________________________________________________________________________________
batch_normalization_46 (BatchNo (None, 32, 32, 180) 720 concatenate_22[0][0]
__________________________________________________________________________________________________
activation_45 (Activation) (None, 32, 32, 180) 0 batch_normalization_46[0][0]
__________________________________________________________________________________________________
conv2d_46 (Conv2D) (None, 32, 32, 48) 8688 activation_45[0][0]
__________________________________________________________________________________________________
dropout_45 (Dropout) (None, 32, 32, 48) 0 conv2d_46[0][0]
__________________________________________________________________________________________________
batch_normalization_47 (BatchNo (None, 32, 32, 48) 192 dropout_45[0][0]
__________________________________________________________________________________________________
activation_46 (Activation) (None, 32, 32, 48) 0 batch_normalization_47[0][0]
__________________________________________________________________________________________________
conv2d_47 (Conv2D) (None, 32, 32, 12) 5196 activation_46[0][0]
__________________________________________________________________________________________________
dropout_46 (Dropout) (None, 32, 32, 12) 0 conv2d_47[0][0]
__________________________________________________________________________________________________
concatenate_23 (Concatenate) (None, 32, 32, 192) 0 concatenate_22[0][0]
dropout_46[0][0]
__________________________________________________________________________________________________
batch_normalization_48 (BatchNo (None, 32, 32, 192) 768 concatenate_23[0][0]
__________________________________________________________________________________________________
activation_47 (Activation) (None, 32, 32, 192) 0 batch_normalization_48[0][0]
__________________________________________________________________________________________________
conv2d_48 (Conv2D) (None, 32, 32, 48) 9264 activation_47[0][0]
__________________________________________________________________________________________________
dropout_47 (Dropout) (None, 32, 32, 48) 0 conv2d_48[0][0]
__________________________________________________________________________________________________
batch_normalization_49 (BatchNo (None, 32, 32, 48) 192 dropout_47[0][0]
__________________________________________________________________________________________________
activation_48 (Activation) (None, 32, 32, 48) 0 batch_normalization_49[0][0]
__________________________________________________________________________________________________
conv2d_49 (Conv2D) (None, 32, 32, 12) 5196 activation_48[0][0]
__________________________________________________________________________________________________
dropout_48 (Dropout) (None, 32, 32, 12) 0 conv2d_49[0][0]
__________________________________________________________________________________________________
concatenate_24 (Concatenate) (None, 32, 32, 204) 0 concatenate_23[0][0]
dropout_48[0][0]
__________________________________________________________________________________________________
batch_normalization_50 (BatchNo (None, 32, 32, 204) 816 concatenate_24[0][0]
__________________________________________________________________________________________________
activation_49 (Activation) (None, 32, 32, 204) 0 batch_normalization_50[0][0]
__________________________________________________________________________________________________
conv2d_50 (Conv2D) (None, 32, 32, 48) 9840 activation_49[0][0]
__________________________________________________________________________________________________
dropout_49 (Dropout) (None, 32, 32, 48) 0 conv2d_50[0][0]
__________________________________________________________________________________________________
batch_normalization_51 (BatchNo (None, 32, 32, 48) 192 dropout_49[0][0]
__________________________________________________________________________________________________
activation_50 (Activation) (None, 32, 32, 48) 0 batch_normalization_51[0][0]
__________________________________________________________________________________________________
conv2d_51 (Conv2D) (None, 32, 32, 12) 5196 activation_50[0][0]
__________________________________________________________________________________________________
dropout_50 (Dropout) (None, 32, 32, 12) 0 conv2d_51[0][0]
__________________________________________________________________________________________________
concatenate_25 (Concatenate) (None, 32, 32, 216) 0 concatenate_24[0][0]
dropout_50[0][0]
__________________________________________________________________________________________________
batch_normalization_52 (BatchNo (None, 32, 32, 216) 864 concatenate_25[0][0]
__________________________________________________________________________________________________
activation_51 (Activation) (None, 32, 32, 216) 0 batch_normalization_52[0][0]
__________________________________________________________________________________________________
conv2d_52 (Conv2D) (None, 32, 32, 48) 10416 activation_51[0][0]
__________________________________________________________________________________________________
dropout_51 (Dropout) (None, 32, 32, 48) 0 conv2d_52[0][0]
__________________________________________________________________________________________________
batch_normalization_53 (BatchNo (None, 32, 32, 48) 192 dropout_51[0][0]
__________________________________________________________________________________________________
activation_52 (Activation) (None, 32, 32, 48) 0 batch_normalization_53[0][0]
__________________________________________________________________________________________________
conv2d_53 (Conv2D) (None, 32, 32, 12) 5196 activation_52[0][0]
__________________________________________________________________________________________________
dropout_52 (Dropout) (None, 32, 32, 12) 0 conv2d_53[0][0]
__________________________________________________________________________________________________
concatenate_26 (Concatenate) (None, 32, 32, 228) 0 concatenate_25[0][0]
dropout_52[0][0]
__________________________________________________________________________________________________
batch_normalization_54 (BatchNo (None, 32, 32, 228) 912 concatenate_26[0][0]
__________________________________________________________________________________________________
activation_53 (Activation) (None, 32, 32, 228) 0 batch_normalization_54[0][0]
__________________________________________________________________________________________________
conv2d_54 (Conv2D) (None, 32, 32, 48) 10992 activation_53[0][0]
__________________________________________________________________________________________________
dropout_53 (Dropout) (None, 32, 32, 48) 0 conv2d_54[0][0]
__________________________________________________________________________________________________
batch_normalization_55 (BatchNo (None, 32, 32, 48) 192 dropout_53[0][0]
__________________________________________________________________________________________________
activation_54 (Activation) (None, 32, 32, 48) 0 batch_normalization_55[0][0]
__________________________________________________________________________________________________
conv2d_55 (Conv2D) (None, 32, 32, 12) 5196 activation_54[0][0]
__________________________________________________________________________________________________
dropout_54 (Dropout) (None, 32, 32, 12) 0 conv2d_55[0][0]
__________________________________________________________________________________________________
concatenate_27 (Concatenate) (None, 32, 32, 240) 0 concatenate_26[0][0]
dropout_54[0][0]
__________________________________________________________________________________________________
batch_normalization_56 (BatchNo (None, 32, 32, 240) 960 concatenate_27[0][0]
__________________________________________________________________________________________________
activation_55 (Activation) (None, 32, 32, 240) 0 batch_normalization_56[0][0]
__________________________________________________________________________________________________
conv2d_56 (Conv2D) (None, 32, 32, 48) 11568 activation_55[0][0]
__________________________________________________________________________________________________
dropout_55 (Dropout) (None, 32, 32, 48) 0 conv2d_56[0][0]
__________________________________________________________________________________________________
batch_normalization_57 (BatchNo (None, 32, 32, 48) 192 dropout_55[0][0]
__________________________________________________________________________________________________
activation_56 (Activation) (None, 32, 32, 48) 0 batch_normalization_57[0][0]
__________________________________________________________________________________________________
conv2d_57 (Conv2D) (None, 32, 32, 12) 5196 activation_56[0][0]
__________________________________________________________________________________________________
dropout_56 (Dropout) (None, 32, 32, 12) 0 conv2d_57[0][0]
__________________________________________________________________________________________________
concatenate_28 (Concatenate) (None, 32, 32, 252) 0 concatenate_27[0][0]
dropout_56[0][0]
__________________________________________________________________________________________________
batch_normalization_58 (BatchNo (None, 32, 32, 252) 1008 concatenate_28[0][0]
__________________________________________________________________________________________________
activation_57 (Activation) (None, 32, 32, 252) 0 batch_normalization_58[0][0]
__________________________________________________________________________________________________
conv2d_58 (Conv2D) (None, 32, 32, 48) 12144 activation_57[0][0]
__________________________________________________________________________________________________
dropout_57 (Dropout) (None, 32, 32, 48) 0 conv2d_58[0][0]
__________________________________________________________________________________________________
batch_normalization_59 (BatchNo (None, 32, 32, 48) 192 dropout_57[0][0]
__________________________________________________________________________________________________
activation_58 (Activation) (None, 32, 32, 48) 0 batch_normalization_59[0][0]
__________________________________________________________________________________________________
conv2d_59 (Conv2D) (None, 32, 32, 12) 5196 activation_58[0][0]
__________________________________________________________________________________________________
dropout_58 (Dropout) (None, 32, 32, 12) 0 conv2d_59[0][0]
__________________________________________________________________________________________________
concatenate_29 (Concatenate) (None, 32, 32, 264) 0 concatenate_28[0][0]
dropout_58[0][0]
__________________________________________________________________________________________________
batch_normalization_60 (BatchNo (None, 32, 32, 264) 1056 concatenate_29[0][0]
__________________________________________________________________________________________________
activation_59 (Activation) (None, 32, 32, 264) 0 batch_normalization_60[0][0]
__________________________________________________________________________________________________
conv2d_60 (Conv2D) (None, 32, 32, 48) 12720 activation_59[0][0]
__________________________________________________________________________________________________
dropout_59 (Dropout) (None, 32, 32, 48) 0 conv2d_60[0][0]
__________________________________________________________________________________________________
batch_normalization_61 (BatchNo (None, 32, 32, 48) 192 dropout_59[0][0]
__________________________________________________________________________________________________
activation_60 (Activation) (None, 32, 32, 48) 0 batch_normalization_61[0][0]
__________________________________________________________________________________________________
conv2d_61 (Conv2D) (None, 32, 32, 12) 5196 activation_60[0][0]
__________________________________________________________________________________________________
dropout_60 (Dropout) (None, 32, 32, 12) 0 conv2d_61[0][0]
__________________________________________________________________________________________________
concatenate_30 (Concatenate) (None, 32, 32, 276) 0 concatenate_29[0][0]
dropout_60[0][0]
__________________________________________________________________________________________________
batch_normalization_62 (BatchNo (None, 32, 32, 276) 1104 concatenate_30[0][0]
__________________________________________________________________________________________________
activation_61 (Activation) (None, 32, 32, 276) 0 batch_normalization_62[0][0]
__________________________________________________________________________________________________
conv2d_62 (Conv2D) (None, 32, 32, 48) 13296 activation_61[0][0]
__________________________________________________________________________________________________
dropout_61 (Dropout) (None, 32, 32, 48) 0 conv2d_62[0][0]
__________________________________________________________________________________________________
batch_normalization_63 (BatchNo (None, 32, 32, 48) 192 dropout_61[0][0]
__________________________________________________________________________________________________
activation_62 (Activation) (None, 32, 32, 48) 0 batch_normalization_63[0][0]
__________________________________________________________________________________________________
conv2d_63 (Conv2D) (None, 32, 32, 12) 5196 activation_62[0][0]
__________________________________________________________________________________________________
dropout_62 (Dropout) (None, 32, 32, 12) 0 conv2d_63[0][0]
__________________________________________________________________________________________________
concatenate_31 (Concatenate) (None, 32, 32, 288) 0 concatenate_30[0][0]
dropout_62[0][0]
__________________________________________________________________________________________________
batch_normalization_64 (BatchNo (None, 32, 32, 288) 1152 concatenate_31[0][0]
__________________________________________________________________________________________________
activation_63 (Activation) (None, 32, 32, 288) 0 batch_normalization_64[0][0]
__________________________________________________________________________________________________
conv2d_64 (Conv2D) (None, 32, 32, 48) 13872 activation_63[0][0]
__________________________________________________________________________________________________
dropout_63 (Dropout) (None, 32, 32, 48) 0 conv2d_64[0][0]
__________________________________________________________________________________________________
batch_normalization_65 (BatchNo (None, 32, 32, 48) 192 dropout_63[0][0]
__________________________________________________________________________________________________
activation_64 (Activation) (None, 32, 32, 48) 0 batch_normalization_65[0][0]
__________________________________________________________________________________________________
conv2d_65 (Conv2D) (None, 32, 32, 12) 5196 activation_64[0][0]
__________________________________________________________________________________________________
dropout_64 (Dropout) (None, 32, 32, 12) 0 conv2d_65[0][0]
__________________________________________________________________________________________________
concatenate_32 (Concatenate) (None, 32, 32, 300) 0 concatenate_31[0][0]
dropout_64[0][0]
__________________________________________________________________________________________________
batch_normalization_66 (BatchNo (None, 32, 32, 300) 1200 concatenate_32[0][0]
__________________________________________________________________________________________________
conv2d_66 (Conv2D) (None, 32, 32, 150) 45150 batch_normalization_66[0][0]
__________________________________________________________________________________________________
dropout_65 (Dropout) (None, 32, 32, 150) 0 conv2d_66[0][0]
__________________________________________________________________________________________________
average_pooling2d_1 (AveragePoo (None, 16, 16, 150) 0 dropout_65[0][0]
__________________________________________________________________________________________________
batch_normalization_67 (BatchNo (None, 16, 16, 150) 600 average_pooling2d_1[0][0]
__________________________________________________________________________________________________
activation_65 (Activation) (None, 16, 16, 150) 0 batch_normalization_67[0][0]
__________________________________________________________________________________________________
conv2d_67 (Conv2D) (None, 16, 16, 48) 7248 activation_65[0][0]
__________________________________________________________________________________________________
dropout_66 (Dropout) (None, 16, 16, 48) 0 conv2d_67[0][0]
__________________________________________________________________________________________________
batch_normalization_68 (BatchNo (None, 16, 16, 48) 192 dropout_66[0][0]
__________________________________________________________________________________________________
activation_66 (Activation) (None, 16, 16, 48) 0 batch_normalization_68[0][0]
__________________________________________________________________________________________________
conv2d_68 (Conv2D) (None, 16, 16, 12) 5196 activation_66[0][0]
__________________________________________________________________________________________________
dropout_67 (Dropout) (None, 16, 16, 12) 0 conv2d_68[0][0]
__________________________________________________________________________________________________
concatenate_33 (Concatenate) (None, 16, 16, 162) 0 average_pooling2d_1[0][0]
dropout_67[0][0]
__________________________________________________________________________________________________
batch_normalization_69 (BatchNo (None, 16, 16, 162) 648 concatenate_33[0][0]
__________________________________________________________________________________________________
activation_67 (Activation) (None, 16, 16, 162) 0 batch_normalization_69[0][0]
__________________________________________________________________________________________________
conv2d_69 (Conv2D) (None, 16, 16, 48) 7824 activation_67[0][0]
__________________________________________________________________________________________________
dropout_68 (Dropout) (None, 16, 16, 48) 0 conv2d_69[0][0]
__________________________________________________________________________________________________
batch_normalization_70 (BatchNo (None, 16, 16, 48) 192 dropout_68[0][0]
__________________________________________________________________________________________________
activation_68 (Activation) (None, 16, 16, 48) 0 batch_normalization_70[0][0]
__________________________________________________________________________________________________
conv2d_70 (Conv2D) (None, 16, 16, 12) 5196 activation_68[0][0]
__________________________________________________________________________________________________
dropout_69 (Dropout) (None, 16, 16, 12) 0 conv2d_70[0][0]
__________________________________________________________________________________________________
concatenate_34 (Concatenate) (None, 16, 16, 174) 0 concatenate_33[0][0]
dropout_69[0][0]
__________________________________________________________________________________________________
batch_normalization_71 (BatchNo (None, 16, 16, 174) 696 concatenate_34[0][0]
__________________________________________________________________________________________________
activation_69 (Activation) (None, 16, 16, 174) 0 batch_normalization_71[0][0]
__________________________________________________________________________________________________
conv2d_71 (Conv2D) (None, 16, 16, 48) 8400 activation_69[0][0]
__________________________________________________________________________________________________
dropout_70 (Dropout) (None, 16, 16, 48) 0 conv2d_71[0][0]
__________________________________________________________________________________________________
batch_normalization_72 (BatchNo (None, 16, 16, 48) 192 dropout_70[0][0]
__________________________________________________________________________________________________
activation_70 (Activation) (None, 16, 16, 48) 0 batch_normalization_72[0][0]
__________________________________________________________________________________________________
conv2d_72 (Conv2D) (None, 16, 16, 12) 5196 activation_70[0][0]
__________________________________________________________________________________________________
dropout_71 (Dropout) (None, 16, 16, 12) 0 conv2d_72[0][0]
__________________________________________________________________________________________________
concatenate_35 (Concatenate) (None, 16, 16, 186) 0 concatenate_34[0][0]
dropout_71[0][0]
__________________________________________________________________________________________________
batch_normalization_73 (BatchNo (None, 16, 16, 186) 744 concatenate_35[0][0]
__________________________________________________________________________________________________
activation_71 (Activation) (None, 16, 16, 186) 0 batch_normalization_73[0][0]
__________________________________________________________________________________________________
conv2d_73 (Conv2D) (None, 16, 16, 48) 8976 activation_71[0][0]
__________________________________________________________________________________________________
dropout_72 (Dropout) (None, 16, 16, 48) 0 conv2d_73[0][0]
__________________________________________________________________________________________________
batch_normalization_74 (BatchNo (None, 16, 16, 48) 192 dropout_72[0][0]
__________________________________________________________________________________________________
activation_72 (Activation) (None, 16, 16, 48) 0 batch_normalization_74[0][0]
__________________________________________________________________________________________________
conv2d_74 (Conv2D) (None, 16, 16, 12) 5196 activation_72[0][0]
__________________________________________________________________________________________________
dropout_73 (Dropout) (None, 16, 16, 12) 0 conv2d_74[0][0]
__________________________________________________________________________________________________
concatenate_36 (Concatenate) (None, 16, 16, 198) 0 concatenate_35[0][0]
dropout_73[0][0]
__________________________________________________________________________________________________
batch_normalization_75 (BatchNo (None, 16, 16, 198) 792 concatenate_36[0][0]
__________________________________________________________________________________________________
activation_73 (Activation) (None, 16, 16, 198) 0 batch_normalization_75[0][0]
__________________________________________________________________________________________________
conv2d_75 (Conv2D) (None, 16, 16, 48) 9552 activation_73[0][0]
__________________________________________________________________________________________________
dropout_74 (Dropout) (None, 16, 16, 48) 0 conv2d_75[0][0]
__________________________________________________________________________________________________
batch_normalization_76 (BatchNo (None, 16, 16, 48) 192 dropout_74[0][0]
__________________________________________________________________________________________________
activation_74 (Activation) (None, 16, 16, 48) 0 batch_normalization_76[0][0]
__________________________________________________________________________________________________
conv2d_76 (Conv2D) (None, 16, 16, 12) 5196 activation_74[0][0]
__________________________________________________________________________________________________
dropout_75 (Dropout) (None, 16, 16, 12) 0 conv2d_76[0][0]
__________________________________________________________________________________________________
concatenate_37 (Concatenate) (None, 16, 16, 210) 0 concatenate_36[0][0]
dropout_75[0][0]
__________________________________________________________________________________________________
batch_normalization_77 (BatchNo (None, 16, 16, 210) 840 concatenate_37[0][0]
__________________________________________________________________________________________________
activation_75 (Activation) (None, 16, 16, 210) 0 batch_normalization_77[0][0]
__________________________________________________________________________________________________
conv2d_77 (Conv2D) (None, 16, 16, 48) 10128 activation_75[0][0]
__________________________________________________________________________________________________
dropout_76 (Dropout) (None, 16, 16, 48) 0 conv2d_77[0][0]
__________________________________________________________________________________________________
batch_normalization_78 (BatchNo (None, 16, 16, 48) 192 dropout_76[0][0]
__________________________________________________________________________________________________
activation_76 (Activation) (None, 16, 16, 48) 0 batch_normalization_78[0][0]
__________________________________________________________________________________________________
conv2d_78 (Conv2D) (None, 16, 16, 12) 5196 activation_76[0][0]
__________________________________________________________________________________________________
dropout_77 (Dropout) (None, 16, 16, 12) 0 conv2d_78[0][0]
__________________________________________________________________________________________________
concatenate_38 (Concatenate) (None, 16, 16, 222) 0 concatenate_37[0][0]
dropout_77[0][0]
__________________________________________________________________________________________________
batch_normalization_79 (BatchNo (None, 16, 16, 222) 888 concatenate_38[0][0]
__________________________________________________________________________________________________
activation_77 (Activation) (None, 16, 16, 222) 0 batch_normalization_79[0][0]
__________________________________________________________________________________________________
conv2d_79 (Conv2D) (None, 16, 16, 48) 10704 activation_77[0][0]
__________________________________________________________________________________________________
dropout_78 (Dropout) (None, 16, 16, 48) 0 conv2d_79[0][0]
__________________________________________________________________________________________________
batch_normalization_80 (BatchNo (None, 16, 16, 48) 192 dropout_78[0][0]
__________________________________________________________________________________________________
activation_78 (Activation) (None, 16, 16, 48) 0 batch_normalization_80[0][0]
__________________________________________________________________________________________________
conv2d_80 (Conv2D) (None, 16, 16, 12) 5196 activation_78[0][0]
__________________________________________________________________________________________________
dropout_79 (Dropout) (None, 16, 16, 12) 0 conv2d_80[0][0]
__________________________________________________________________________________________________
concatenate_39 (Concatenate) (None, 16, 16, 234) 0 concatenate_38[0][0]
dropout_79[0][0]
__________________________________________________________________________________________________
batch_normalization_81 (BatchNo (None, 16, 16, 234) 936 concatenate_39[0][0]
__________________________________________________________________________________________________
activation_79 (Activation) (None, 16, 16, 234) 0 batch_normalization_81[0][0]
__________________________________________________________________________________________________
conv2d_81 (Conv2D) (None, 16, 16, 48) 11280 activation_79[0][0]
__________________________________________________________________________________________________
dropout_80 (Dropout) (None, 16, 16, 48) 0 conv2d_81[0][0]
__________________________________________________________________________________________________
batch_normalization_82 (BatchNo (None, 16, 16, 48) 192 dropout_80[0][0]
__________________________________________________________________________________________________
activation_80 (Activation) (None, 16, 16, 48) 0 batch_normalization_82[0][0]
__________________________________________________________________________________________________
conv2d_82 (Conv2D) (None, 16, 16, 12) 5196 activation_80[0][0]
__________________________________________________________________________________________________
dropout_81 (Dropout) (None, 16, 16, 12) 0 conv2d_82[0][0]
__________________________________________________________________________________________________
concatenate_40 (Concatenate) (None, 16, 16, 246) 0 concatenate_39[0][0]
dropout_81[0][0]
__________________________________________________________________________________________________
batch_normalization_83 (BatchNo (None, 16, 16, 246) 984 concatenate_40[0][0]
__________________________________________________________________________________________________
activation_81 (Activation) (None, 16, 16, 246) 0 batch_normalization_83[0][0]
__________________________________________________________________________________________________
conv2d_83 (Conv2D) (None, 16, 16, 48) 11856 activation_81[0][0]
__________________________________________________________________________________________________
dropout_82 (Dropout) (None, 16, 16, 48) 0 conv2d_83[0][0]
__________________________________________________________________________________________________
batch_normalization_84 (BatchNo (None, 16, 16, 48) 192 dropout_82[0][0]
__________________________________________________________________________________________________
activation_82 (Activation) (None, 16, 16, 48) 0 batch_normalization_84[0][0]
__________________________________________________________________________________________________
conv2d_84 (Conv2D) (None, 16, 16, 12) 5196 activation_82[0][0]
__________________________________________________________________________________________________
dropout_83 (Dropout) (None, 16, 16, 12) 0 conv2d_84[0][0]
__________________________________________________________________________________________________
concatenate_41 (Concatenate) (None, 16, 16, 258) 0 concatenate_40[0][0]
dropout_83[0][0]
__________________________________________________________________________________________________
batch_normalization_85 (BatchNo (None, 16, 16, 258) 1032 concatenate_41[0][0]
__________________________________________________________________________________________________
activation_83 (Activation) (None, 16, 16, 258) 0 batch_normalization_85[0][0]
__________________________________________________________________________________________________
conv2d_85 (Conv2D) (None, 16, 16, 48) 12432 activation_83[0][0]
__________________________________________________________________________________________________
dropout_84 (Dropout) (None, 16, 16, 48) 0 conv2d_85[0][0]
__________________________________________________________________________________________________
batch_normalization_86 (BatchNo (None, 16, 16, 48) 192 dropout_84[0][0]
__________________________________________________________________________________________________
activation_84 (Activation) (None, 16, 16, 48) 0 batch_normalization_86[0][0]
__________________________________________________________________________________________________
conv2d_86 (Conv2D) (None, 16, 16, 12) 5196 activation_84[0][0]
__________________________________________________________________________________________________
dropout_85 (Dropout) (None, 16, 16, 12) 0 conv2d_86[0][0]
__________________________________________________________________________________________________
concatenate_42 (Concatenate) (None, 16, 16, 270) 0 concatenate_41[0][0]
dropout_85[0][0]
__________________________________________________________________________________________________
batch_normalization_87 (BatchNo (None, 16, 16, 270) 1080 concatenate_42[0][0]
__________________________________________________________________________________________________
activation_85 (Activation) (None, 16, 16, 270) 0 batch_normalization_87[0][0]
__________________________________________________________________________________________________
conv2d_87 (Conv2D) (None, 16, 16, 48) 13008 activation_85[0][0]
__________________________________________________________________________________________________
dropout_86 (Dropout) (None, 16, 16, 48) 0 conv2d_87[0][0]
__________________________________________________________________________________________________
batch_normalization_88 (BatchNo (None, 16, 16, 48) 192 dropout_86[0][0]
__________________________________________________________________________________________________
activation_86 (Activation) (None, 16, 16, 48) 0 batch_normalization_88[0][0]
__________________________________________________________________________________________________
conv2d_88 (Conv2D) (None, 16, 16, 12) 5196 activation_86[0][0]
__________________________________________________________________________________________________
dropout_87 (Dropout) (None, 16, 16, 12) 0 conv2d_88[0][0]
__________________________________________________________________________________________________
concatenate_43 (Concatenate) (None, 16, 16, 282) 0 concatenate_42[0][0]
dropout_87[0][0]
__________________________________________________________________________________________________
batch_normalization_89 (BatchNo (None, 16, 16, 282) 1128 concatenate_43[0][0]
__________________________________________________________________________________________________
activation_87 (Activation) (None, 16, 16, 282) 0 batch_normalization_89[0][0]
__________________________________________________________________________________________________
conv2d_89 (Conv2D) (None, 16, 16, 48) 13584 activation_87[0][0]
__________________________________________________________________________________________________
dropout_88 (Dropout) (None, 16, 16, 48) 0 conv2d_89[0][0]
__________________________________________________________________________________________________
batch_normalization_90 (BatchNo (None, 16, 16, 48) 192 dropout_88[0][0]
__________________________________________________________________________________________________
activation_88 (Activation) (None, 16, 16, 48) 0 batch_normalization_90[0][0]
__________________________________________________________________________________________________
conv2d_90 (Conv2D) (None, 16, 16, 12) 5196 activation_88[0][0]
__________________________________________________________________________________________________
dropout_89 (Dropout) (None, 16, 16, 12) 0 conv2d_90[0][0]
__________________________________________________________________________________________________
concatenate_44 (Concatenate) (None, 16, 16, 294) 0 concatenate_43[0][0]
dropout_89[0][0]
__________________________________________________________________________________________________
batch_normalization_91 (BatchNo (None, 16, 16, 294) 1176 concatenate_44[0][0]
__________________________________________________________________________________________________
activation_89 (Activation) (None, 16, 16, 294) 0 batch_normalization_91[0][0]
__________________________________________________________________________________________________
conv2d_91 (Conv2D) (None, 16, 16, 48) 14160 activation_89[0][0]
__________________________________________________________________________________________________
dropout_90 (Dropout) (None, 16, 16, 48) 0 conv2d_91[0][0]
__________________________________________________________________________________________________
batch_normalization_92 (BatchNo (None, 16, 16, 48) 192 dropout_90[0][0]
__________________________________________________________________________________________________
activation_90 (Activation) (None, 16, 16, 48) 0 batch_normalization_92[0][0]
__________________________________________________________________________________________________
conv2d_92 (Conv2D) (None, 16, 16, 12) 5196 activation_90[0][0]
__________________________________________________________________________________________________
dropout_91 (Dropout) (None, 16, 16, 12) 0 conv2d_92[0][0]
__________________________________________________________________________________________________
concatenate_45 (Concatenate) (None, 16, 16, 306) 0 concatenate_44[0][0]
dropout_91[0][0]
__________________________________________________________________________________________________
batch_normalization_93 (BatchNo (None, 16, 16, 306) 1224 concatenate_45[0][0]
__________________________________________________________________________________________________
activation_91 (Activation) (None, 16, 16, 306) 0 batch_normalization_93[0][0]
__________________________________________________________________________________________________
conv2d_93 (Conv2D) (None, 16, 16, 48) 14736 activation_91[0][0]
__________________________________________________________________________________________________
dropout_92 (Dropout) (None, 16, 16, 48) 0 conv2d_93[0][0]
__________________________________________________________________________________________________
batch_normalization_94 (BatchNo (None, 16, 16, 48) 192 dropout_92[0][0]
__________________________________________________________________________________________________
activation_92 (Activation) (None, 16, 16, 48) 0 batch_normalization_94[0][0]
__________________________________________________________________________________________________
conv2d_94 (Conv2D) (None, 16, 16, 12) 5196 activation_92[0][0]
__________________________________________________________________________________________________
dropout_93 (Dropout) (None, 16, 16, 12) 0 conv2d_94[0][0]
__________________________________________________________________________________________________
concatenate_46 (Concatenate) (None, 16, 16, 318) 0 concatenate_45[0][0]
dropout_93[0][0]
__________________________________________________________________________________________________
batch_normalization_95 (BatchNo (None, 16, 16, 318) 1272 concatenate_46[0][0]
__________________________________________________________________________________________________
activation_93 (Activation) (None, 16, 16, 318) 0 batch_normalization_95[0][0]
__________________________________________________________________________________________________
conv2d_95 (Conv2D) (None, 16, 16, 48) 15312 activation_93[0][0]
__________________________________________________________________________________________________
dropout_94 (Dropout) (None, 16, 16, 48) 0 conv2d_95[0][0]
__________________________________________________________________________________________________
batch_normalization_96 (BatchNo (None, 16, 16, 48) 192 dropout_94[0][0]
__________________________________________________________________________________________________
activation_94 (Activation) (None, 16, 16, 48) 0 batch_normalization_96[0][0]
__________________________________________________________________________________________________
conv2d_96 (Conv2D) (None, 16, 16, 12) 5196 activation_94[0][0]
__________________________________________________________________________________________________
dropout_95 (Dropout) (None, 16, 16, 12) 0 conv2d_96[0][0]
__________________________________________________________________________________________________
concatenate_47 (Concatenate) (None, 16, 16, 330) 0 concatenate_46[0][0]
dropout_95[0][0]
__________________________________________________________________________________________________
batch_normalization_97 (BatchNo (None, 16, 16, 330) 1320 concatenate_47[0][0]
__________________________________________________________________________________________________
activation_95 (Activation) (None, 16, 16, 330) 0 batch_normalization_97[0][0]
__________________________________________________________________________________________________
conv2d_97 (Conv2D) (None, 16, 16, 48) 15888 activation_95[0][0]
__________________________________________________________________________________________________
dropout_96 (Dropout) (None, 16, 16, 48) 0 conv2d_97[0][0]
__________________________________________________________________________________________________
batch_normalization_98 (BatchNo (None, 16, 16, 48) 192 dropout_96[0][0]
__________________________________________________________________________________________________
activation_96 (Activation) (None, 16, 16, 48) 0 batch_normalization_98[0][0]
__________________________________________________________________________________________________
conv2d_98 (Conv2D) (None, 16, 16, 12) 5196 activation_96[0][0]
__________________________________________________________________________________________________
dropout_97 (Dropout) (None, 16, 16, 12) 0 conv2d_98[0][0]
__________________________________________________________________________________________________
concatenate_48 (Concatenate) (None, 16, 16, 342) 0 concatenate_47[0][0]
dropout_97[0][0]
__________________________________________________________________________________________________
average_pooling2d_2 (AveragePoo (None, 2, 2, 342) 0 concatenate_48[0][0]
__________________________________________________________________________________________________
flatten (Flatten) (None, 1368) 0 average_pooling2d_2[0][0]
__________________________________________________________________________________________________
dense (Dense) (None, 3) 4107 flatten[0][0]
==================================================================================================
Total params: 798,465
Trainable params: 775,053
Non-trainable params: 23,412
__________________________________________________________________________________________________