How to Get Started With Generative Adversarial Networks (7-Day Mini-Course)

Last Updated on July 12, 2019

Generative Adversarial Networks With Python Crash Course.
Bring Generative Adversarial Networks to Your Project in 7 Days.

Generative Adversarial Networks, or GANs for short, are a deep learning technique for training generative models.

The study and application of GANs are only a few years old, yet the results achieved have been nothing short of remarkable. Because the field is so young, it can be challenging to know how to get started, what to focus on, and how to best use the available techniques.

In this crash course, you will discover how you can get started and confidently develop deep learning Generative Adversarial Networks using Python in seven days.

Note: This is a big and important post. You might want to bookmark it.

Let’s get started.

• Update Jul/2019: Changed order of LeakyReLU and BatchNorm layers (thanks Chee).

Who Is This Crash-Course For?

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