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Deep Learning For Dummies
book

Deep Learning For Dummies

by John Paul Mueller, Luca Massaron
May 2019
Intermediate to advanced content levelIntermediate to advanced
368 pages
9h 55m
English
For Dummies
Content preview from Deep Learning For Dummies

Chapter 16

Building Generative Adversarial Networks

IN THIS CHAPTER

Bullet Introducing how neural networks can create credible data

Bullet Creating a GAN that can generate handwritten numbers

Bullet Presenting image and music applications where GANs shine

Deep learning has turned into a hot technology, and new research produces ever more impressive discoveries all the time. Discoveries always appear at an even faster rate during the Neural Information Processing Systems (NeurIPS) conference (https://neurips.cc/), which serves as the stage for everything related to deep learning. The conference is held every year at a different location around the world (most recently, before this book’s publication, in Montréal, Canada).

The conference always makes new technologies available for people to see, but a few fields have received all the attention. Among the impressive variety of applications and new technologies related to deep learning recently introduced at the conference, here are the ones to pay the most attention to: Natural Language Processing (especially for pretrained embeddings like BERT discussed in Chapter 14); Reinforcement Learning (the topic of the next chapter); and Generative Adversarial ...

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Publisher Resources

ISBN: 9781119543046Purchase book