Skip to Main Content
Hands-On Deep Learning with Apache Spark
book

Hands-On Deep Learning with Apache Spark

by Guglielmo Iozzia
January 2019
Intermediate to advanced content levelIntermediate to advanced
322 pages
7h 29m
English
Packt Publishing
Content preview from Hands-On Deep Learning with Apache Spark

LSTM

RNNs are multilayer neural networks that are used to recognize patterns in sequences of data. By sequences of data, we mean text, handwriting, numerical times series (coming for example from sensors), log entries, and so on. The algorithms involved here have a temporal dimension too: they take time (and this is the main difference with CNNs) and sequence both into account. For a better understanding of the need for RNNs, we have to look at the basics of feedforward networks first. Similar to RNNs, these networks channel information through a series of mathematical operations performed at the nodes of the network, but they feed information straight through, never touching a given node twice. The network is fed with input examples that ...

Become 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,
and much more.
Start your free trial

You might also like

Next-Generation Machine Learning with Spark: Covers XGBoost, LightGBM, Spark NLP, Distributed Deep Learning with Keras, and More

Next-Generation Machine Learning with Spark: Covers XGBoost, LightGBM, Spark NLP, Distributed Deep Learning with Keras, and More

Butch Quinto
Apache Spark Deep Learning Cookbook

Apache Spark Deep Learning Cookbook

Ahmed Sherif, Amrith Ravindra, Michal Malohlava, Adnan Masood

Publisher Resources

ISBN: 9781788994613Supplemental Content