A DeepLearning.AI specialization on generative adversarial networks (GANs), covering GAN architectures and training through StyleGAN. It is described by one commenter as somewhat dated.

One commenter points to it as the place to go after the basics for learning GANs, noting it covers topics through StyleGAN.

What commenters said (1)

1. Recommendselephanlemon2022in “From Deep Learning Foundations to Stable Diffusion”

   It’s a bit dated now, but the DeepLearning.ai GANs specialization covers topics through StyleGAN. If you have no experience with ML at all I would probably start with the first two courses of their Deep Learning specialization and then jump into the GANs specialization.

   I would also highly recommend FastAI’s Deep Learning for Coders (and their new course that came out this year). You’ll start immediately with some cool applications (basic image recognition and NLP) and then drill down from there to learn how they work in detail.

   It’s set up such that you can learn as much as you want (basics with no depth: first chapter; basic understanding of how a neural network is trained with SGD: first four chapters; understanding of decision trees, LSTMs, and CNNs: first half; detailed understanding of how to build everything from scratch: whole book).

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