December 2017
Intermediate to advanced
536 pages
14h 23m
English
Content preview from TensorFlow 1.x Deep Learning Cookbook
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Learning to beat the previous MNIST state-of-the-art results with Capsule Networks
Capsule Networks (or CapsNets) is a very recent and innovative type of deep learning network. This technique was introduced at the end of October 2017 in a seminal paper titled Dynamic Routing Between Capsules by Sara Sabour, Nicholas Frost and Geoffrey Hinton (https://arxiv.org/abs/1710.09829). Hinton is one of the fathers of Deep Learning and, therefore, the whole Deep Learning community is excited to see the progress made with capsules. Indeed, CapsNets are already beating the best CNN at MNIST classification which is... well, impressive!
So what is the problem with CNNs? In CNNs each layer understands an image at a progressive level of granularity. As we ...
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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.