September 2019
Intermediate to advanced
420 pages
10h 29m
English
book
Machine Learning for OpenCV 4 - Second Edition
by Aditya Sharma, Michael Beyeler (USD), Vishwesh Ravi Shrimali, Michael Beyeler
Content preview from Machine Learning for OpenCV 4 - Second Edition
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Training MLPs with backpropagation
This is where backpropagation comes in, which is an algorithm for estimating the gradient of the cost function in neural networks. Some might say that it is basically a fancy word for the chain rule, which is a means to calculate the partial derivative of functions that depend on more than one variable. Nonetheless, it is a method that helped bring the field of artificial neural networks back to life, so we should be thankful for that.
Understanding backpropagation involves quite a bit of calculus, so I will only give you a brief introduction here.
Let's remind ourselves that the cost function, and therefore its gradient, depends on the difference between the true output (yi) and the current output (ŷi
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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.
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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.