February 2019
Intermediate to advanced
260 pages
6h 3m
English
Content preview from Hands-On Java Deep Learning for Computer Vision
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Computational model efficiency
Neural networks are currently learning millions of weights. Millions of weights mean millions of multiplications. This makes it essential to find a highly efficient model to do this multiplication, and that is done by using matrices. The following diagram depicts how weights are placed in a matrix:
The weight matrix here has one row and four columns, and the inputs are in another matrix. These inputs can be the outputs of the previous hidden layer.
To find the output, we need to simply perform a simple multiplication of these two matrices. This means that is the multiplication of the row and the column.
To make ...
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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.