Build GANs and Diffusion Models with TensorFlow and PyTorch
With Janani Ravi
Liked by 335 users
Duration: 2h 22m
Skill level: Advanced
Released: 9/15/2022
Course details
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.
Skills you’ll gain
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Meet the instructor
Learner reviews
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Suresh Bantubilli
Suresh Bantubilli
Driving Kafka & IBM MQ Success | Infrastructure Engineering | Architecting Tenant-Based Solutions | Transforming businesses with tenant-based…
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Shyamsundar Vaidhyanathan
Shyamsundar Vaidhyanathan
Engineering Leader building Intelligent Applications & Platforms || Music Composer || Deep Learner.
Contents
What’s included
- Practice while you learn 1 exercise file
- Test your knowledge 5 quizzes
- Learn on the go Access on tablet and phone