deeplearning

Python implementation of Deep Learning book

Ian Goodfellow, Yoshua Bengio and Aaron Courville, MIT Press, 2016

Name		Name	Last commit message	Last commit date
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
autoencoder_experiments.ipynb		autoencoder_experiments.ipynb
back_propagation.py		back_propagation.py
back_propagation_simple.py		back_propagation_simple.py
classification.ipynb		classification.ipynb
classification.py		classification.py
cnn_experiments.ipynb		cnn_experiments.ipynb
convolution.py		convolution.py
linear_algebra.py		linear_algebra.py
low_precision.ipynb		low_precision.ipynb
mnist_experiments.ipynb		mnist_experiments.ipynb
optimization.ipynb		optimization.ipynb
optimization.py		optimization.py
probability.py		probability.py
rbm.py		rbm.py
rbm_experiments.ipynb		rbm_experiments.ipynb
regression.ipynb		regression.ipynb
regression.py		regression.py
rnn.py		rnn.py
rnn_experiments.ipynb		rnn_experiments.ipynb
test_back_propagation.py		test_back_propagation.py
test_back_propagation_simple.py		test_back_propagation_simple.py
test_classification.py		test_classification.py
test_convolution.py		test_convolution.py
test_linear_algebra.py		test_linear_algebra.py
test_optimization.py		test_optimization.py
test_probability.py		test_probability.py
test_rbm.py		test_rbm.py
test_regression.py		test_regression.py
test_rnn.py		test_rnn.py

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