April 2020
Intermediate to advanced
330 pages
7h 44m
English
Content preview from Hands-On Deep Learning with R
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Comparing neural networks and the human brain
Let's consider how a human brain learns in order to see the ways in which a neural network is similar and the ways in which it is different.
Our brain contains a large number of neurons, and each neuron is connected to thousands of nearby neurons. As these neurons receive signals, they fire if the input contains a certain amount of a given color or a certain amount of a given texture. After millions of these interconnected neurons fire, the brain interprets the incoming signal as a certain class.
Of course, these connections are not set permanently but rather change dynamically as we continue to have experiences, notice patterns, and discover relationships. If we try a new fruit for the first ...
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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.