Name		Name	Last commit message	Last commit date
Deep_RL_tensorflow		Deep_RL_tensorflow
images		images
.gitignore		.gitignore
Auto-Encoder-Animate.ipynb		Auto-Encoder-Animate.ipynb
Auto-Encoder.ipynb		Auto-Encoder.ipynb
CNN with MNIST.ipynb		CNN with MNIST.ipynb
Caffe Practice 1.ipynb		Caffe Practice 1.ipynb
Caffe Practice 2.ipynb		Caffe Practice 2.ipynb
Caffe Practice 3.ipynb		Caffe Practice 3.ipynb
Dockerfile_ttskc		Dockerfile_ttskc
Logistic Regression_Python.ipynb		Logistic Regression_Python.ipynb
NN with Numpy Weight Matrix.ipynb		NN with Numpy Weight Matrix.ipynb
NN with Shared Variables.ipynb		NN with Shared Variables.ipynb
README.md		README.md
RNN-story.ipynb		RNN-story.ipynb
Simple RNN.ipynb		Simple RNN.ipynb
TensorFlow.pdf		TensorFlow.pdf
Theano Tutorial Basic1.ipynb		Theano Tutorial Basic1.ipynb
Theano_deeplearing_tutorial_1.pdf		Theano_deeplearing_tutorial_1.pdf
Theano_eskim.pdf		Theano_eskim.pdf
Theano_talk160630.pdf		Theano_talk160630.pdf
example.ipynb		example.ipynb
mnist.hdf5		mnist.hdf5
setup_nbserver.py		setup_nbserver.py
sshd_config		sshd_config
stories.txt		stories.txt
trained_ae.hdf5		trained_ae.hdf5
trained_ae.pkl		trained_ae.pkl

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BI Lab Deep Learning Tutorial

This repository consists of IPython notebooks of basic and advanced examples of deep learning tools such as Caffe, Tensorflow and Theano.

MNIST data is not ours. You can find the license info and the original data uploads here: http://yann.lecun.com/exdb/mnist/

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