Heads up! Looks like you're using adblock. Please consider supporting us by whitelisting coursedio.online How?

file_download Exercise Files

Next Video arrow_forward

Forward diffusion process

with Janani Ravi

Explore the fundamentals of generative adversarial networks (GANs) and diffusion models, two of the most commonly used generative models in machine learning.

play_circle_filled

Overview of generative models

play_circle_filled

Applications of generative models

play_circle_filled

Introducing GANs and diffusion models

play_circle_filled

Generator and discriminator

play_circle_filled

Architectural overview of a GAN

play_circle_filled

Training the generator and discriminator

play_circle_filled

Common problems with GANs

play_circle_filled

Getting set up with Google Colab

play_circle_filled

Loading the fashion MNIST data set

play_circle_filled

The generator network

play_circle_filled

The discriminator network

play_circle_filled

Adversary loss functions

play_circle_filled

Training the generative adversarial network

play_circle_filled

Generating images using the GAN

play_circle_filled

Overview of CNNs

play_circle_filled

Transposed convolutional layer

play_circle_filled

Deep Convolutional GANs

play_circle_filled

Greyscale images: Generator and discriminator in a Deep Convolutional GAN

play_circle_filled

Greyscale images: Training a Deep Convolutional GAN

play_circle_filled

Color images: Loading multichannel image data

play_circle_filled

Color images: Generator and discriminator in a Deep Convolutional GAN

play_circle_filled

Color images: Training a Deep Convolutional GAN

play_circle_filled

Generative learning trilemma

play_circle_filled

Introducing denoising diffusion probabilistic models

play_circle_filled

How do denoising diffusion probabilistic models work?

play_circle_filled

Forward diffusion process

play_circle_filled

Reverse diffusion process

play_circle_filled

Training a diffusion model: Intuition

play_circle_filled

Denoising diffusion probabilistic models: Exploring implementation on GitHub

play_circle_filled

Denoising diffusion probabilistic models: Code overview

play_circle_filled

Denoising diffusion probabilistic models: Code tweaks

play_circle_filled

Denoising diffusion probabilistic models: Generating images

play_circle_filled

Summary and next steps