February 2018
Intermediate to advanced
262 pages
6h 59m
English
Content preview from Deep Learning with PyTorch
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Generative Networks
All the examples that we have seen in the previous chapters were focused on solving problems such as classification or regression. This chapter is very interesting and important for understanding how deep learning is being evolved to solve problems in unsupervised learning.
In this chapter, we will train networks that learn how to create:
- Images based on content and a particular artistic style, popularly called style transfer
- Generating faces of new persons using a particular type of generative adversarial network (GAN)
- Generating new text using language modeling
These techniques form the basis of most of the advanced research that is happening in the deep learning space. Going into the exact specifics of each of the ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.