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Variational Dropout Sparsifies Deep Neural Networks

Molchanov et al. (2017)

Implementation for TensorFlow, based on the Theano/Lasagne version by the authors here. You can read the original paper here.

Requirements

  • TensorFlow 1.1
  • Python 2.7
  • Numpy
  • Scikit-learn
  • Keras

This is a work in progress. The repo contains fully connected and convolutional layers with variational dropout.

Currently runs a simple CNN or larger VGG-like network on MNIST, CIFAR-10 or CIFAR-100.