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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Choosing the triplets
Choosing the triplets is very important as it impacts the learning of the network.
For negative cases, we just choose them randomly, and most of the time, they actually satisfy the equation easily. The reason for this is, the difference between the anchor and negative image is already great. Thus, no matter the value that you choose, the difference will always be large. We can express this mathematically as the following:
The network at this point will get lazy and not solve the equations for the upcoming iterations. To resolve this, we need to choose triplets that are complex to train:
This means that we need to choose ...
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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.