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Machine Learning / Deep Learning models implemenated in TensorFlow.

All implementations are based on http://deeplearning.net/tutorial/contents.html

Models:

  • Logistic Regression
  • Multilayer Perceptron
  • Convolutional Network (LeNet)
  • Denoising Autoencoder (dA)
  • Stacked Denoising Autoencoders (SdA)
  • Restricted Boltzmann Machine
  • Deep Belief Network
  • Hybrid Monte-Carlo Sampling
  • Recurrent Neural Network
  • LSTM Network

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ML/DL model implementations in TensorFlow based on deeplearning.net tutorials

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