December 2018
Intermediate to advanced
158 pages
3h 58m
English
Content preview from Deep Learning with PyTorch Quick Start Guide
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Computational Graphs and Linear Models
By now you should have an understanding of the theory of linear models and neural networks, as well as a knowledge of the fundamentals of PyTorch. In this chapter, we will be putting all this together by implementing some ANNs in PyTorch. We will focus on the implementation of linear models, and show how they can be adapted to perform multi-class classification. We will discuss the following topics in relation to PyTorch:
- autograd
- Computational graphs
- Linear regression
- Logistic regression
- Multi-class classification
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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.