https://github.com/imvision12/dcgan-tensorflow

A Tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
https://github.com/imvision12/dcgan-tensorflow

dcgan gan generative-adversarial-network image image-generation tensorflow

Last synced: about 2 months ago
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A Tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

• Host: GitHub
• URL: https://github.com/imvision12/dcgan-tensorflow
• Owner: IMvision12
• Created: 2022-01-19T08:20:16.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2022-01-19T17:47:45.000Z (over 4 years ago)
• Last Synced: 2026-03-27T18:50:49.131Z (3 months ago)
• Topics: dcgan, gan, generative-adversarial-network, image, image-generation, tensorflow
• Language: Jupyter Notebook
• Homepage:
• Size: 28.9 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# DCGAN-Tensorflow

A Tensorflow implementation of DCGAN proposed in the paper [Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks](https://arxiv.org/abs/1511.06434).

### Architecture of DCGAN :



  

  


  ## About Model:

    1. Used strided convolutions (discriminator) and fractional-strided convolutions (generator)

    2. BatchNormalization in both the generator and the discriminator network

    3. Used LeakyReLU in both generator and discriminator and Tanh in last layer of generator

# Results :

  

    Original

     Generated