February 2017
Intermediate to advanced
274 pages
5h 58m
English
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Chapter 8. TensorFrames
This chapter will provide a high-level primer on the burgeoning field of Deep Learning and the reasons why it is important. It will provide the fundamentals surrounding feature learning and neural networks required for deep learning. As well, this chapter will provide a quick start for TensorFrames for Apache Spark.
In this chapter, you will learn about:
- What is Deep Learning?
- A primer on feature learning
- What is feature engineering?
- What is TensorFlow?
- Introducing TensorFrames
- TensorFrames – quick start
As you can see in the preceding breakdown, we will be initially discussing deep learning – more specifically we will start with neural networks.
What is Deep Learning?
Deep Learning is part of a family of machine learning techniques ...
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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.