December 2016
Beginner to intermediate
392 pages
8h 13m
English
Content preview from Apache Spark for Data Science CookbookBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Chapter 9. Deep Learning on Spark
In this chapter, we'll cover the following recipes:
- Installing CaffeOnSpark
- Working with CaffeOnSpark
- Running a feed-forward neural network with DeepLearning4j over Spark
- Running an RBM with DeepLearning4j over Spark
- Running a CNN for learning MNIST with DeepLearning4j over Spark
- Installing TensorFlow
- Working with Spark TensorFlow
Introduction
Deep learning is a new area of machine learning which has been introduced with the objective of moving machine learning closer to one of its original goals, which is Artificial Intelligence (AI). It is becoming an important AI paradigm for pattern recognition, image/video processing and fraud detection applications in finance.
Deep learning is the implementation of neural networks ...
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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.