May 2020
Intermediate to advanced
530 pages
17h 8m
English
Content preview from Hands-On Machine Learning with C++
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Xavier initialization method
The Xavier initialization method is used to simplify the signal flow through the layer during both the forward pass and the backward pass of the error for the linear activation function. This method also works well for the sigmoid function, since the region where it is unsaturated also has a linear character. When calculating weights, this method relies on probability distribution (such as the uniform or the normal ones) with a variance of 
, where 
and are the number of neurons in the previous and subsequent layers, ...
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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.