December 2019
Intermediate to advanced
468 pages
14h 28m
English
Content preview from Advanced Deep Learning with Python
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Neural graph learning
In this section, we'll describe the Neural Graph Learning paradigm (NGL) (for more information, see Neural Graph Learning: Training Neural Networks Using Graphs at https://storage.googleapis.com/pub-tools-public-publication-data/pdf/bbd774a3c6f13f05bf754e09aa45e7aa6faa08a8.pdf), which makes it possible to augment training based on unstructured data with structured signals. More specifically, we'll discuss the neural structured learning framework (NSL) (for more information, go to https://www.tensorflow.org/neural_structured_learning/), which is based on TensorFlow 2.0 and implements these principles.
To understand how NGL works, we'll use the CORA dataset (https://relational.fit.cvut.cz/dataset/CORA), which consists ...
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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.