February 2018
Intermediate to advanced
262 pages
6h 59m
English
Content preview from Deep Learning with PyTorch
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Language modeling
We will learn how to teach a recurrent neural network (RNN) how it can create a sequence of text. In simple words, the RNN model that we will build now will be able to predict the next word, given some context. This is just like the Swift app on your phone, which guesses the next word that you are typing. The ability to generate sequential data has applications in many different areas, such as:
- Image captioning
- Speech recognition
- Language translation
- Automatic email reply
We learnt in Chapter 6, Deep Learning with Sequence Data and Text, that RNNs are tough to train. So, we will be using a variant of RNN called Long Short-Term Memory (LSTM). The development of the LSTM algorithm started in 1997 but became popular in the ...
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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.