Apache Spark Deep Learning Cookbook
by Ahmed Sherif, Amrith Ravindra, Michal Malohlava, Adnan Masood
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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