keras-examples
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- [[https://github.com/fchollet/keras][Keras]] example codes
** Dependencies
I recommend using anaconda3
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python libraries
- Keras
- tensorflow or theano
- pydot_ng
- matplotllib
- daft (only ~tutorial~ )
- gensim (only save and load word embeddings)
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software
- graphviz
** Contents
*** Keras 1
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Image
- ~CNN_MNIST~
- ~variational auto encoder for CIFAR10~
- ~Gumbel-softmax with variational auto encoder for MNIST~
- ~residual CIFAR10~
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Text
- ~encoder-decoder~
- ~Skip-Gram~ : not hieraltical softmax and negative sampling
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Tutorial
- ~keras_tutorial~ : for Machine Learning seminar at Tsukuba (note: 7MB notebook and ja only)
*** Keras 2
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~autoencoder~
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~MLP_MNIST~
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~CNN_CIFAR10~
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~CBoW~ : Normal softmax
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~RNN_binary_classification~
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~NNLM~
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~SCRNLM~ : Structurally Constrained Recurrent Nets Language Model
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~fastText~ : Bi-gram features and softmax
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~Skip-Gram&NG~ : Skip-gram with negative sampling
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~prodLDA~ : Product of experts model's LDA based on VAE
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~sklearn_MLP_MNIST~: Sklearn API example for parameter search on MNIST classification