September 2019
Intermediate to advanced
416 pages
13h 49m
English
book
Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence
by Jon Krohn, Grant Beyleveld, Aglaé Bassens
Content preview from Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence
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11. Natural Language Processing
In Chapter 2, we introduced computational representations of language, particularly highlighting word vectors as a potent approach for quantitatively capturing word meaning. In the present chapter, we cover code that will enable you to create your own word vectors as well as to provide them as an input into a deep learning model.
The natural language processing models you build in this chapter will incorporate neural network layers we’ve applied already: dense layers from Chapters 5 through 9, and convolutional layers from Chapter 10. Our NLP models will also incorporate new layer types—ones from the family of recurrent neural networks. RNNs natively handle information that occurs in sequences such as natural ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.