Coding a basic WGAN in PyTorch

Published: 22 May 2021
on channel: Manning Publications

2,207

Edward Raff, author of 📖 Inside Deep Learning | http://mng.bz/xGn7 📖 shows you how to code a generic WGAN using PyTorch. From a live coding session 🎞 How to Modify Generative Adversarial Networks (GANs) Implementation for New Tasks and Losses | • How to Modify Generative Adversarial Netwo...

📚📚📚
Inside Deep Learning | http://mng.bz/xGn7
To save 40% off this book use discount code: twitraff40
📚📚📚

"Inside Deep Learning: Math, Algorithms, Models" is a fast-paced beginners' guide to solving common technical problems with deep learning. Written for everyday developers, there are no complex mathematical proofs or unnecessary academic theory. You’ll learn how deep learning works through plain language, annotated code and equations as you work through dozens of instantly useful PyTorch examples. As you go, you’ll build a French-English translator that works on the same principles as professional machine translation and discover cutting-edge techniques just emerging from the latest research. Best of all, every deep learning solution in this book can run in less than fifteen minutes using free GPU hardware!

On this page of the site you can watch the video online Coding a basic WGAN in PyTorch with a duration of hours minute second in good quality, which was uploaded by the user Manning Publications 22 May 2021, share the link with friends and acquaintances, this video has already been watched 2,207 times on youtube and it was liked by 16 viewers. Enjoy your viewing!

994