Speeding up the design and implementation of Deep Learning solutions using Apache Spark About This Book * Dive into the world of distributed deep learning with Apache Spark * Train various types of neural networks with popular deep learning libraries like BigDL, deeplearning4j and TensorFlow. * Practical guide to help you develop deep learning applications in Spark to handle larger and complex data sets. Who This Book Is For If you are a Scala developer, a data scientist or a data analyst who wants to learn how to use Spark for implementing efficient deep learning models, this is the book for you. Knowledge of the core machine learning concepts and some exposure to Spark will be helpful What You Will Learn * Understanding the basics of Deep Learning * Getting started with Apache Spark (Scala and Python) * Moving to a practical deep dive into deep learning algorithms * Getting hands-on with the most popular frameworks (DeepLearning4j, Tensorflow and BigDL) for deep learning * Experimenting with deep learning concepts, algorithms, and the toolbox for deep learning * Learning principles of distributing modelling and different types of neural networks. In Detail Deep Learning is a subset of Machine Learning wherein data sets with several layers of complexity can be processed. This book will address the sheer complexity of the technical and analytical parts, and the speed at which Deep Learning solutions can be implemented on Apache Spark. You will start with understanding the fundamentals of Apache Spark and deep learning. You will see how to set up Spark for performing deep learning, and learn principles of distributed modelling and different types of neural nets. You will then implement deep learning models like CNN, RNN, LSTMs on Spark. Get a hands-on experience of what it takes and a general feeling of the complexity we are dealing with. During the course of the book, you will use popular deep learning frameworks such as Tensorflow, deeplearning4j and BigDL to train your distributed models. Towards the end of the book, you'll have gained experience with implementations of your models on a variety of use-cases.

Book Information
ISBN 9781788994613
Author Guglielmo Iozzia
Format Paperback
Page Count 430
Imprint Packt Publishing Limited
Publisher Packt Publishing Limited