February 2018
Intermediate to advanced
262 pages
6h 59m
English
Content preview from Deep Learning with PyTorch
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Supervised learning
Most of the successful use cases in the deep learning and machine learning space fall under supervised learning. Most of the examples we cover in this book will also be part of this. Some of the common examples of supervised learning are:
- Classification problems: Classifying dogs and cats.
- Regression problems: Predicting stock prices, cricket match scores, and so on.
- Image segmentation: Doing a pixel-level classification. For a self-driving car, it is important to identify what each pixel belongs to from the photo taken by its camera. The pixel could belong to a car, pedestrian, tree, bus, and so on.
- Speech recognition: OK Google, Alexa, and Siri are good examples of speech recognition.
- Language translation: Translating ...
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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.