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Raccoon987/Neural-Networks
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Repository contain different neural network implementation: 1) sentiment analysis simple - simple implementation of regular neural network (NN) with four fully-connected layers for classification of product reviews - task that was considered in Yandex_sentiment_analysis repository. 2) sentiment analysis moment adaptive learnrate - implementation of regular NN using special technics like introduction momentum and adaptive learnrates (RMSProp, Adam optimizer, dropout) 3) sentiment analysis tensorflow keras - this time NN was written using keras and tensorflow modules 4) convolution NN - convolution NN for face emotion classification 5) autoencoders - unsupervised machine learning - autoencoders, Restricted Bolzman machines, convolutional autoencoders; deep neural and deep belief networks 6) recurrent neural networks -
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using neural networks for sentiment analysis, image recognition, text manipulation and other
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