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lenet_train_test.prototxt
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name: "LeNet"
#layer {
# name: "mnist"
# type: "Data"
# top: "data"
# top: "label"
# include {
# phase: TRAIN
# }
# transform_param{
# scale: 0.00390625
# }
# data_param {
# source: "examples/mnist/mnist_train_lmdb1"
# batch_size: 64
# backend: LMDB
# }
#}
#layer {
# name: "mnist"
# type: "Data"
# top: "data"
# top: "label"
# include {
# phase: TEST
# }
# transform_param{
# scale: 0.00390625
# }
# data_param {
# source: "examples/mnist/mnist_test_lmdb1"
# batch_size: 100
# backend: LMDB
# }
#}
layer{
name: "data"
type: "Input"
top: "data"
input_param{shape: {dim:1 dim:1 dim:28 dim:28}}
}
layer {
name: "conv1"
type: "Convolution"
bottom: "data"
top: "conv1"
param {
lr_mult: 1
}
param {
lr_mult: 2
}
convolution_param {
num_output: 20
kernel_size: 5
stride: 1
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
}
}
}
layer {
name: "pool1"
type: "Pooling"
bottom: "conv1"
top: "pool1"
pooling_param {
pool: MAX
kernel_size: 2
stride: 2
}
}
layer {
name: "conv2"
type: "Convolution"
bottom: "pool1"
top: "conv2"
param {
lr_mult: 1
}
param {
lr_mult: 2
}
convolution_param {
num_output: 50
kernel_size: 5
stride: 1
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
}
}
}
layer {
name: "pool2"
type: "Pooling"
bottom: "conv2"
top: "pool2"
pooling_param {
pool: MAX
kernel_size: 2
stride: 2
}
}
layer {
name: "ip1"
type: "InnerProduct"
bottom: "pool2"
top: "ip1"
param {
lr_mult: 1
}
param {
lr_mult: 2
}
inner_product_param {
num_output: 500
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
}
}
}
layer {
name: "relu1"
type: "ReLU"
bottom: "ip1"
top: "ip1"
}
layer {
name: "ip2"
type: "InnerProduct"
bottom: "ip1"
top: "ip2"
param {
lr_mult: 1
}
param {
lr_mult: 2
}
inner_product_param {
num_output: 10
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
}
}
}
##layer {
# name: "accuracy"
# type: "Accuracy"
# bottom: "ip2"
# bottom: "label"
# top: "accuracy"
# include {
# phase: TEST
# }
#}
#layer {
# name: "loss"
# type: "Softmax"
# bottom: "ip2"
# bottom: "label"
# top: "loss"
#}
layer{
name: "prob"
type: "Softmax"
bottom: "ip2"
top: "prob"
}
#layer {
#name: "output"
# type: "ArgMax"
# bottom: "ip2"
# top:"output"
# include: { phase: TEST }
#}