February 2020
Intermediate to advanced
260 pages
5h 41m
English
Content preview from Practical MATLAB Deep Learning: A Project-Based Approach
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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.
Michael Paluszek and Stephanie Thomas
Practical MATLAB Deep LearningA Project-Based Approach
Michael Paluszek
Plainsboro, NJ, USA
Stephanie Thomas
Plainsboro, NJ, USA
Any source code or other supplementary material referenced by the author in this book is available to readers on GitHub via the book’s product page, located at
www.apress.com/9781484251232
. For more detailed information, please visit
http://www.apress.com/source-code
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ISBN 978-1-4842-5123-2e-ISBN 978-1-4842-5124-9
© Michael Paluszek and Stephanie Thomas 2020
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