Skip to content

My implementations of deep neural networks for practice.

License

Notifications You must be signed in to change notification settings

shaform/DeepNetworks

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

72 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

DeepNetworks

My implementations of deep neural networks for practice.

Implemented Methods

This repository implements the following:

  • Subpixel Convolutions: paper, code
  • Translated Parametric ReLU: paper, code
  • Weight Normalization: paper, code
  • Label Smoothing: paper, code
  • Wasserstein GAN: paper, code
  • Improved Training of Wasserstein GANs: paper, code
  • Deep Regret Analytic Generative Adversarial Networks: paper, code
  • Conditional Image Synthesis With Auxiliary Classifier GANs: paper
  • Learning to Discover Cross-Domain Relations with Generative Adversarial Networks: paper, code
  • Minibatch Stat Concatenation: paper, code

Requirements

  • tensorflow >= 1.4.0
  • Python 3