March 2018
Intermediate to advanced
272 pages
7h 53m
English
Content preview from Deep Learning Quick Reference
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What this book covers
Chapter 1, The Building Blocks of Deep Learning, reviews some basics around the operation of neural networks, touches on optimization algorithms, talks about model validation, and goes over setting up a development environment suitable for building deep neural networks.
Chapter 2, Using Deep Learning to Solve Regression Problems, enables you build very simple neural networks to solve regression problems and explore the impact of deeper more complex models on those problems.
Chapter 3, Monitoring Network Training Using TensorBoard, lets you get started right away with TensorBoard, which is a wonderful application for monitoring and debugging your future models.
Chapter 4, Using Deep Learning to Solve Binary Classification ...
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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.Julian F.
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.
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.Amir M.
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.