Read and preprocess an image dataset to train a GAN (Generative Adversarial Network) that produces similar images. The Discrimina…

Apply GAN trained models to produce two artificial images. The vectors of them are then combined with different aggregation metho…

This workflow trains a Deep Convolutional Generative Adversarial Network (DCGAN) that learns to create digits similar to MNIST. A…

Apply GAN trained models to produce a sequence of artificial images, choosing from different trained models. The component view i…

Apply GAN trained models to produce an artificial image, choosing from different trained models. The component view is built as a…