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

Deepnetworks

My implementations of deep neural networks for practice.

Deepnetworks Info

⭐ Stars 19
🔗 Source Code github.com
🕒 Last Update 5 months ago
🕒 Created 5 years ago
🐞 Open Issues 0
➗ Star-Issue Ratio Infinity
😎 Author shaform