Python / deep neural network

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Code samples are modified for Michael Nielsen's book Neural Networks and Deep Learning by python 3.x

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11983 (+4) ⭐

Code samples for my book "Neural Networks and Deep Learning"

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Summary, Code for Deep Neural Network Quantization

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It is a keras based implementation of Deep Siamese Bidirectional LSTM network to capture phrase/sentence similarity using word embedding.

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Deep Columnar Convolutional Neural Network architecture, which is based on Multi Columnar DNN (Ciresan 2012).

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(no description)

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Lasagne 🌿
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Lightweight library to build and train neural networks in Theano

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open_nsfw πŸ‚
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Not Suitable for Work (NSFW) classification using deep neural network Caffe models.

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Deep Neural Network Ensembles for Extreme Classification

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reactionrnn πŸ‚
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Python module + R package to predict the reactions to a given text using a pretrained recurrent neural network.

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