Neural Networks and Deep Learning

(Draft status)

Practical Implementations with Python, Theano and Tensorflow.

Prerequisite:

Content

Recurrent Neural Networks (RNNs)

  • Recurrent neural networks
  • LSTM: Long Short Term Memory
  • Deep transition recurrent neural networks
  • Stacked recurrent neural networks
  • Applications of RNNs

Energy based models

  • Intro RBM: Introduction to Restricted Boltzmann Machines
  • Gibbs Sampling on RBM
  • Contrastive Divergence
  • ...
  • Renormalization Group and RBMs
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