October 2018
Beginner
362 pages
9h 32m
English
Content preview from Hands-On Artificial Intelligence for Beginners
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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.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.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.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.
The PyTorch graph
PyTorch seems more Pythonic because of its dynamic graph compute structure. Since Python is an interpreted language, meaning that operations are executed at runtime, PyTorch's graphing feature seeks to replicate this by allowing us to alter variables in the graph at runtime. In simpler words, PyTorch's graphs are created at the time you actually execute the code, not defined statically beforehand like in TensorFlow. Architecturally, this means that you can actually change your network architecture during training, which means PyTorch can accommodate a lot more cutting edge, dynamic architectures.
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