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DeepNetworks Implemented Methods Requirements

README.md

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

About

My implementations of deep neural networks for practice.

Topics

deep-neural-networks deep-learning jupyter-notebook generative-adversarial-network mnist discogan wasserstein-gan dragan

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Readme

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Apache-2.0 license

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