Hands-On Deep Learning with Apache Spark

£28.99

Hands-On Deep Learning with Apache Spark

Build and deploy distributed deep learning applications on Apache Spark

Database design and theory Data capture and analysis Data mining Information architecture

Author: Guglielmo Iozzia

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Language: English

Published by: Packt Publishing

Published on: 31st January 2019

Format: LCP-protected ePub

Size: 322 pages

ISBN: 9781788999700


Speed up the design and implementation of deep learning solutions using Apache Spark

Key Features

Explore the world of distributed deep learning with Apache Spark

Train neural networks with deep learning libraries such as BigDL and TensorFlow

Develop Spark deep learning applications to intelligently handle large and complex datasets

Book Description

Deep learning is a subset of machine learning where datasets with several layers of complexity can be processed. Hands-On Deep Learning with Apache Spark addresses the sheer complexity of technical and analytical parts and the speed at which deep learning solutions can be implemented on Apache Spark.

The book starts with the fundamentals of Apache Spark and deep learning. You will set up Spark for deep learning, learn principles of distributed modeling, and understand different types of neural nets. You will then implement deep learning models, such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and long short-term memory (LSTM) on Spark.

As you progress through the book, you will gain hands-on experience of what it takes to understand the complex datasets you are dealing with. During the course of this book, you will use popular deep learning frameworks, such as TensorFlow, Deeplearning4j, and Keras to train your distributed models.

By the end of this book, you’ll have gained experience with the implementation of your models on a variety of use cases.

What you will learn

Understand the basics of deep learning

Set up Apache Spark for deep learning

Understand the principles of distribution modeling and different types of neural networks

Obtain an understanding of deep learning algorithms

Discover textual analysis and deep learning with Spark

Use popular deep learning frameworks, such as Deeplearning4j, TensorFlow, and Keras

Explore popular deep learning algorithms

Who this book is for

If you are a Scala developer, data scientist, or data analyst who wants to learn how to use Spark for implementing efficient deep learning models, Hands-On Deep Learning with Apache Spark is for you. Knowledge of the core machine learning concepts and some exposure to Spark will be helpful.

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