This is the Linux app named DCGAN in Tensorflow whose latest release can be downloaded as DCGAN-tensorflowsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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DCGAN in Tensorflow
DESCRIPTION
DCGAN-tensorflow is a classic TensorFlow implementation of Deep Convolutional Generative Adversarial Networks, intended to demonstrate and reproduce the stabilized GAN architecture described in the original research. The repository provides complete training scripts, model definitions, and utilities for generating synthetic images from datasets such as MNIST and CelebA. It serves both as an educational reference and as a practical starting point for developers experimenting with generative models. The implementation includes adjustments such as updating the generator more frequently than the discriminator to help stabilize training. Users can train models on built-in datasets or plug in their own image collections with minimal changes. Overall, the project remains a widely cited baseline for understanding GAN mechanics within the TensorFlow ecosystem.
Features
- Full TensorFlow implementation of DCGAN
- Training support for MNIST and CelebA datasets
- Custom dataset compatibility
- Generator and discriminator training controls
- Visualization and result utilities
- Educational reference for generative modeling
Programming Language
JavaScript
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/dcgan-in-tensorflow.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
