Ebook: Apache Spark deep learning cookbook: over 80 recipes that streamline deep learning in a distributed environment with Apache Spark

Cover -- Title Page -- Copyright and Credits -- Packt Upsell -- Foreword -- Contributors -- Table of Contents -- Preface -- Chapter 1: Setting Up Spark for Deep Learning Development -- Introduction -- Downloading an Ubuntu Desktop image -- Getting ready -- How to do it ... -- How it works ... -- There's more ... -- See also -- Installing and configuring Ubuntu with VMWare Fusion on macOS -- Getting ready -- How to do it ... -- How it works ... -- There's more ... -- See also -- Installing and configuring Ubuntu with Oracle VirtualBox on Windows -- Getting ready -- How to do it ... -- How it works ... -- There's more ... -- See also -- Installing and configuring Ubuntu Desktop for Google Cloud Platform -- Getting ready -- How to do it ... -- How it works ... -- There's more ... -- See also -- Installing and configuring Spark and prerequisites on Ubuntu Desktop -- Getting ready -- How to do it ... -- How it works ... -- There's more ... -- See also -- Integrating Jupyter notebooks with Spark -- Getting ready -- How to do it ... -- How it works ... -- There's more ... -- See also -- Starting and configuring a Spark cluster -- Getting ready -- How to do it ... -- How it works ... -- There's more ... -- See also -- Stopping a Spark cluster -- How to do it ... -- How it works ... -- There's more ... -- Chapter 2: Creating a Neural Network in Spark -- Introduction -- Creating a dataframe in PySpark -- Getting ready -- How to do it ... -- How it works ... -- There's more ... -- See also -- Manipulating columns in a PySpark dataframe -- Getting ready -- How to do it ... -- How it works ... -- There's more ... -- Converting a PySpark dataframe to an array -- Getting ready -- How to do it ... -- How it works ... -- There's more ... -- See also -- Visualizing an array in a scatterplot -- Getting ready -- How to do it ... -- How it works ... -- There's more ... -- See also.;Apache Spark Deep Learning Cookbook presents useful tips and tricks to overcome any problem related to building efficient distributed deep learning applications on Apache Spark. With the help of this book, you will leverage powerful deep learning libraries such as TensorFlow to develop your models and ensure their optimum performance.