theano-tutorial

I re-implemented the solutions with minor refactoring to aid my own understanding.

Name		Name	Last commit message	Last commit date
Latest commit History 11 Commits
.idea		.idea
.DS_Store		.DS_Store
.gitignore		.gitignore
3wolfmoon.jpg		3wolfmoon.jpg
LeNetConvNetwork.py		LeNetConvNetwork.py
LeNetConvPoolLayer.py		LeNetConvPoolLayer.py
README.md		README.md
autoencoder.py		autoencoder.py
best_model.pkl		best_model.pkl
convolution.py		convolution.py
convolution_edge_detector_example.py		convolution_edge_detector_example.py
data_loader.py		data_loader.py
denoising_autoencoder_test.py		denoising_autoencoder_test.py
filters_corruption_0.png		filters_corruption_0.png
filters_corruption_30.png		filters_corruption_30.png
hidden_layer.py		hidden_layer.py
load_mnist.py		load_mnist.py
logistic_regression.py		logistic_regression.py
max_pooling_example.py		max_pooling_example.py
mnist.pkl.gz		mnist.pkl.gz
multilayer_perceptron.py		multilayer_perceptron.py
stacked_denoising_autoencoder.py		stacked_denoising_autoencoder.py
training_script.py		training_script.py
tutorial1.py		tutorial1.py
tutorial2.py		tutorial2.py
utils.py		utils.py

lamgary/theano-tutorial