January 2018
Beginner to intermediate
284 pages
8h 35m
English
Content preview from Deep Learning Essentials
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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.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.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.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.
Keras
Keras is a deep learning framework that is probably the most different from every other framework described previously. Most of the described frameworks are low-level modules that directly interact with GPU using CUDA.
Keras, on the other hand, could be understood as a meta-framework that interacts with other frameworks such as Theano or TensorFlow to handle its GPU interactions or other system-level access management. As such, it is highly flexible and very user-friendly, allowing developers to choose from a variety of underlying model implementations. Keras community support is also gaining good momentum and, as of September 2017, TensorFlow team plans to integrate Keras as a subset of the TensorFlow project.
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