https://github.com/gokulnpc/fashion-mnist-gan

This script outlines the implementation of a Generative Adversarial Network (GAN) designed to generate fashion images using the Fashion MNIST dataset. The GAN consists of a generator and a discriminator, which are trained simultaneously in an adversarial manner.
https://github.com/gokulnpc/fashion-mnist-gan

deep-learning deep-neural-networks fashion-mnist generative-adversarial-network

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This script outlines the implementation of a Generative Adversarial Network (GAN) designed to generate fashion images using the Fashion MNIST dataset. The GAN consists of a generator and a discriminator, which are trained simultaneously in an adversarial manner.

• Host: GitHub
• URL: https://github.com/gokulnpc/fashion-mnist-gan
• Owner: gokulnpc
• Created: 2024-04-20T16:21:13.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2024-04-20T16:22:46.000Z (9 months ago)
• Last Synced: 2024-04-20T18:00:53.577Z (9 months ago)
• Topics: deep-learning, deep-neural-networks, fashion-mnist, generative-adversarial-network
• Language: Jupyter Notebook
• Homepage:
• Size: 11.3 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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# Fashion MNIST GAN: Generative Adversarial Network for Fashion Image Generation

This script outlines the implementation of a Generative Adversarial Network (GAN) designed to generate fashion images using the Fashion MNIST dataset. The GAN consists of a generator and a discriminator, which are trained simultaneously in an adversarial manner.

![alt text](image.png)