February 2018
Intermediate to advanced
450 pages
11h 27m
English
Content preview from Deep Learning By Example
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Summary
In this chapter, we covered the installation process for Ubuntu and Mac, gave an overview of the TensorFlow programming model, and explained the different types of simple nodes that could be used for building complex operations and how to get output from TensorFlow using a session object. Also, we covered TensorBoard and why it will helpful for debugging and analyzing complex deep learning applications.
Next, we will go through a basic explanation of neural networks and the intuition behind having multilayer neural networks. We will also cover some basic examples of TensorFlow and demonstrate how it could be used for regression and classification problems.
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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.