carpedm20/DCGAN-tensorflow
A TensorFlow implementation of Deep Convolutional Generative Adversarial Networks for generating images.
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This repository provides a TensorFlow implementation of DCGAN, a generative adversarial network architecture designed to produce realistic images. It includes training scripts for standard datasets like MNIST and CelebA, with configurable parameters for input/output dimensions and optional data augmentation through cropping. The project allows users to train new models or test with pre-trained checkpoints on custom datasets.
Frequently asked
- What is carpedm20/DCGAN-tensorflow?
- A TensorFlow implementation of Deep Convolutional Generative Adversarial Networks for generating images.
- Is DCGAN-tensorflow open source?
- Yes — carpedm20/DCGAN-tensorflow is open source, released under the MIT license.
- What language is DCGAN-tensorflow written in?
- carpedm20/DCGAN-tensorflow is primarily written in JavaScript.
- How popular is DCGAN-tensorflow?
- carpedm20/DCGAN-tensorflow has 7.2k stars on GitHub.
- Where can I find DCGAN-tensorflow?
- carpedm20/DCGAN-tensorflow is on GitHub at https://github.com/carpedm20/DCGAN-tensorflow.