March 2020
Beginner to intermediate
342 pages
8h 38m
English
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The CIFAR-10 Dataset
Do you remember back in Chapter 6, Getting Real, when I introduced MNIST? Those handwritten digits looked like a formidable challenge back then. By now, our neural networks are making short work of them. Since we passed 99% accuracy on MNIST, it’s getting hard to even tell apart actual improvements from random fluctuations.
What do you do when your neural networks are too cool for MNIST? You turn to a more challenging dataset: CIFAR-10.
What CIFAR-10 Looks Like
In the field of image recognition, MNIST is considered an entry point. A tougher benchmark is the CIFAR-10 dataset.[29] CIFAR stands for Canadian Institute For Advanced Research, and 10 is the number of classes in it. A random sample of CIFAR-10 images is shown in ...
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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.