Coding a basic WGAN in PyTorch
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...
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Inside Deep Learning | http://mng.bz/xGn7
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"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!
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