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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

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Tensorflow Examples

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machine-learning deep-learning tensorflow linear-regression cnn mnist ae rnn autoencoder logistic-regression rbm mlp nearest-neighbors multilayer-perceptron-network tf grbm brnn drnn sparseae sparse-autoencoder

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