July 2017
Beginner to intermediate
486 pages
13h 49m
English
Content preview from Python Natural Language Processing
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Summary
Congratulations guys! We have made it to the last chapter! I really appreciate your efforts. In this chapter, you have learned a lot of things such as artificial intelligence aspects that help you understand why deep learning is the buzzword nowadays. We have seen the concept of ANNs. We have seen concepts such as gradient descent, various activation functions, and loss functions. We have seen the architecture of DNN and the DL life cycle. We have also touched on the basics of the sequence-to-sequence model and developed applications such as machine translation, title generation, and summarization. We have also seen the gradient descent-based optimization techniques.
The next sections are Appendices A to C, that will provide you with ...
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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.