February 2019
Beginner to intermediate
308 pages
7h 42m
English
Content preview from Neural Network Projects with Python
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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.
To get the most out of this book
You should have some basic familiarity with programming in Python in order to get the most out of this book. Nevertheless, the book will take you through every step in the project and explain the code as much as possible.
In terms of hardware, you should be running the code on a fairly modern computer with at least 8 GB of RAM and 15 GB of hard disk space (for the datasets). Training deep neural networks requires strong computational resources, and can be sped up significantly if you have a dedicated GPU. However, it is perfectly fine to run the code without a GPU, as well (such as on a laptop). Throughout the book, we will alert you if certain code will take some time to run if you do not have a GPU.
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