July 2018
Intermediate to advanced
474 pages
13h 37m
English
book
Apache Spark Deep Learning Cookbook
by Ahmed Sherif, Amrith Ravindra, Michal Malohlava, Adnan Masood
Content preview from Apache Spark Deep Learning Cookbook
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Sequential workings of RNNs
Recurrent neural networks are a type of artificial neural network designed to recognize and learn patterns in sequences of data. Some of the examples of such sequential data are:
- Handwriting
- Text such as customer reviews, books, source code, and so on
- Spoken word / Natural Language
- Numerical time series / sensor data
- Stock price variation data
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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.