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Apache Spark Deep Learning Cookbook
book

Apache Spark Deep Learning Cookbook

by Ahmed Sherif, Amrith Ravindra, Michal Malohlava, Adnan Masood
July 2018
Intermediate to advanced
474 pages
13h 37m
English
Packt Publishing
Content preview from Apache Spark Deep Learning Cookbook

What this book covers

Chapter 1, Setting Up Spark For Deep Learning, covers everything you need in order to get started developing on Spark within a virtual Ubuntu Desktop environment.

Chapter 2, Creating a Neural Network with Spark, explains the process of developing a neural network from scratch without using any deep learning libraries, such as TensorFlow or Keras.

Chapter 3, Pain Points of Convolutional Neural Networks, walks through some of the pain points associated with working on a convolutional neural network for image recognition, and how they can be overcome.

Chapter 4, Pain Points of Recurrent Neural Networks, covers an introduction to feedforward neural networks and recurrent neural network. We describe some of the pain points ...

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Publisher Resources

ISBN: 9781788474221