August 2019
Intermediate to advanced
342 pages
9h 35m
English
Content preview from Hands-On Artificial Intelligence for Cybersecurity
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PyTorch versus TensorFlow
To compare both of the learning libraries, it should be noted that PyTorch is the most optimized solution for performing tensor calculus tasks on GPUs, as it has been specifically designed to improve performance in large-scale contexts.
Some of the most common use cases for using PyTorch are as follows:
- NLP
- Large-scale image processing
- Social media analysis
However, when compared only on the basis of performance, both PyTorch and TensorFlow are excellent choices; there are other characteristics that could make you lean toward one solution or the other.
For example, in TensorFlow, the debugging of programs is more complex than in PyTorch. This is because, in TensorFlow, development is more cumbersome (having to ...
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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.
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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.