GitHub - khoink94/tensorflow-Deep-learning: Tensorflow Examples

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Name		Name	Last commit message	Last commit date
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MNIST_data		MNIST_data
README		README
Sparsity_autoencoder.zip		Sparsity_autoencoder.zip
autoencoder.py		autoencoder.py
basic_operations.py		basic_operations.py
bidirectional_rnn.py		bidirectional_rnn.py
convolutional_network.py		convolutional_network.py
dynamic_rnn.py		dynamic_rnn.py
grbm.py		grbm.py
helloworld.py		helloworld.py
linear_regression.py		linear_regression.py
logistic_regression.py		logistic_regression.py
multilayer_perceptron.py		multilayer_perceptron.py
nearest_neighbor.py		nearest_neighbor.py
new_filters_at_0.png		new_filters_at_0.png
original_and_reconstruct.png		original_and_reconstruct.png
rbm.py		rbm.py
rbm.pyc		rbm.pyc
recurrent_network.py		recurrent_network.py
tensorboard_basic.py		tensorboard_basic.py
test_filters_at_epoch_0.png		test_filters_at_epoch_0.png
utils.py		utils.py
utils.pyc		utils.pyc

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Deep leaning examples using Tensorflow library:
1. Linear regression
2. Logistic regression
3. Multi layer perceptron
4. Nearest neighbor
5. Recurrent neural network
6. Dynamic recurrent neural network
7. Bidirectional recurrent neural network
8. convolutional neural network
9. Autoencoder
10. Sparsity Autoencoder
11. Restrict Boltzmann Machine RBM
12. Gaussian restrict boltzmann machine GRBM

khoink94/tensorflow-Deep-learning

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