Development Online Course by Udemy, On Sale Here
Generative Adversarial Networks with Python and Tensorflow
An excellent training about Data Science
Deep Learning: Introduction to GANs
In this course you will learn from scratch how to implement GANs to any of your projects. We will start with by breaking down a GAN into its parts and analyzing them. Then we will look at the loss functions we will be using and the Frechet Inception Distance. Finally we will take all this new information and apply it using Python and Tensorflow to the MNIST dataset. The code will be written such that you can use it for any of your image-based projects.
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