June 2016
Beginner to intermediate
494 pages
17h 52m
English
Content preview from Big Data
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Chapter 4
Deep Learning and Its Parallelization
X. Li; G. Zhang; K. Li; W. Zheng
Abstract
In recent years, deep learning has been extensively studied as a new way to train multilayer neural networks. Deep learning is a set of algorithms in machine learning, which attempts to model high-level abstractions in input data by using multiple nonlinear transformations. Many great achievements of deep learning have been made in speech recognition, computer vision, and natural language processing. Considering that data volume increases rapidly, deep learning becomes more and more important in predictive analytics of big data. We need tens of millions of parameters and billions of samples to train a high quality and practical deep learning model. As ...
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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.
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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.