Skip to content

Latest commit

 

History

History
35 lines (20 loc) · 1.12 KB

README.md

File metadata and controls

35 lines (20 loc) · 1.12 KB

Conditional Deep Convolutional GAN (CDCGAN) - Keras Implementation

Generated digits at every epoch:

Generated MNIST Characters

Linear interpolation results:

Interpolation animationInterpolation animationInterpolation animation

Model

This is the abstract representation of the model just to get a "bird eye view" for better understanding.

Model

Training

Just run the script cdcgan/cdcgan_train.py

Weights & Tensorboard logs

Check the releases, for the latest models weights, and tensorboard logs, where you can see the generated images loss and the model graph

About

Gábor Vecsei