December 2017
Intermediate to advanced
536 pages
14h 23m
English
Content preview from TensorFlow 1.x Deep Learning Cookbook
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TensorFlow for Deep Learning
DNNs today is the buzzword in the AI community. Many data science/Kaggle competitions have been recently won by candidates using DNNs. While the concept of DNNs had been around since the proposal of Perceptrons by Rosenblat in 1962 and they were made feasible by the discovery of the Gradient Descent Algorithm in 1986 by Rumelhart, Hinton, and Williams. It is only recently that DNNs became the favourite of AI/ML enthusiasts and engineers world over.
The main reason for this is the availability of modern computing power such as GPUs and tools like TensorFlow that make it easier to access GPUs and construct complex neural networks in just a few lines of code.
As a machine learning enthusiast, you must already be ...
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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.