April 2019
Intermediate to advanced
250 pages
6h 34m
English
Content preview from PyTorch Deep Learning Hands-On
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Summary
Sequential data is one of the most active research fields in deep learning, especially because natural language data is sequential. But sequential data processing is not just limited to that. Time series data, which is essentially everything that happens around us, including sound, other waveforms, and more, is all sequential in nature.
The most difficult problem in processing sequence data is long-term dependency, but sequential data comes with a lot more complexities. RNNs were the breakthrough in the sequence data processing field. Thousands of different variations of RNNs have been explored by researchers and it's still an actively growing field.
In this chapter, we have gone through the basic building blocks of sequential data ...
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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.