Build GANs and Diffusion Models with TensorFlow and PyTorch
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Janani Ravi
2:22:15
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01 - Overview of generative models.mp4
03:53
02 - Applications of generative models.mp4
03:41
01 - Introducing GANs and diffusion models.mp4
03:08
02 - Generator and discriminator.mp4
05:36
03 - Architectural overview of a GAN.mp4
01:45
04 - Training the generator and discriminator.mp4
04:58
05 - Common problems with GANs.mp4
04:58
01 - Getting set up with Google Colab.mp4
03:56
02 - Loading the fashion MNIST data set.mp4
03:58
03 - The generator network.mp4
03:43
04 - The discriminator network.mp4
03:34
05 - Adversary loss functions.mp4
04:18
06 - Training the generative adversarial network.mp4
06:17
07 - Generating images using the GAN.mp4
03:50
01 - Overview of CNNs.mp4
04:18
02 - Transposed convolutional layer.mp4
04:22
03 - Deep Convolutional GANs.mp4
04:28
04 - Greyscale images Generator and discriminator in a Deep Convolutional GAN.mp4
06:33
05 - Greyscale images Training a Deep Convolutional GAN.mp4
06:19
01 - Color images Loading multichannel image data.mp4
06:22
02 - Color images Generator and discriminator in a Deep Convolutional GAN.mp4
04:58
03 - Color images Training a Deep Convolutional GAN.mp4
02:36
01 - Generative learning trilemma.mp4
04:30
02 - Introducing denoising diffusion probabilistic models.mp4
02:29
03 - How do denoising diffusion probabilistic models work.mp4
05:23
04 - Forward diffusion process.mp4
05:08
05 - Reverse diffusion process.mp4
02:51
06 - Training a diffusion model Intuition.mp4
07:20
01 - Denoising diffusion probabilistic models Exploring implementation on GitHub.mp4
02:25
02 - Denoising diffusion probabilistic models Code overview.mp4
04:34
03 - Denoising diffusion probabilistic models Code tweaks.mp4
02:22
04 - Denoising diffusion probabilistic models Generating images.mp4
05:53
01 - Summary and next steps.mp4
01:49
Description
If you’re looking for a crash course in generative modeling, this course was made for you. Generative adversarial networks (GANs) and diffusion models are some of the most important components of machine learning infrastructure. Join instructor Janani Ravi to find out more about how to get started building GANs with both dense neural as well as deep convolutional networks. Javani shows you the basics of how to train a deep convolutional GAN on multichannel images. Along the way, she gives you tips on how to get up and running with GANs using TensorFlow and diffusion models using PyTorch.
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Janani Ravi
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Linkedin Learning
View courses Linkedin LearningLinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications.
It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.
- language english
- Training sessions 33
- duration 2:22:15
- English subtitles has
- Release Date 2023/07/12
