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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