January 2019
Intermediate to advanced
322 pages
7h 29m
English
Content preview from Hands-On Deep Learning with Apache Spark
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Deep Learning Basics
In this chapter, I am going to introduce the core concepts of Deep Learning (DL), the relationship it has with Machine Learning (ML) and Artificial Intelligence (AI), the different types of multilayered neural networks, and a list of real-world practical applications. I will try to skip mathematical equations as much as possible and keep the description very high level, with no reference to code examples. The goal of this chapter is to make readers aware of what DL really is and what you can do with it, while the following chapters will go much more into the details of this, with lots of practical code examples in Scala and Python (where this programming language can be used).
This chapter will cover the following topics: ...
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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.