Book Image

Deep Learning with Hadoop

By : Dipayan Dev
Book Image

Deep Learning with Hadoop

By: Dipayan Dev

Overview of this book

This book will teach you how to deploy large-scale dataset in deep neural networks with Hadoop for optimal performance. Starting with understanding what deep learning is, and what the various models associated with deep neural networks are, this book will then show you how to set up the Hadoop environment for deep learning. In this book, you will also learn how to overcome the challenges that you face while implementing distributed deep learning with large-scale unstructured datasets. The book will also show you how you can implement and parallelize the widely used deep learning models such as Deep Belief Networks, Convolutional Neural Networks, Recurrent Neural Networks, Restricted Boltzmann machines and autoencoder using the popular deep learning library Deeplearning4j. Get in-depth mathematical explanations and visual representations to help you understand the design and implementations of Recurrent Neural network and Denoising Autoencoders with Deeplearning4j. To give you a more practical perspective, the book will also teach you the implementation of large-scale video processing, image processing and natural language processing on Hadoop. By the end of this book, you will know how to deploy various deep neural networks in distributed systems using Hadoop.
Table of Contents (16 chapters)
Deep Learning with Hadoop
About the Author
About the Reviewers
Customer Feedback


Over the past decade, we have had the privilege of hearing about the greatest inventions of deep learning from many of the great scientists and companies working in Artificial Intelligence. Deep learning is an approach to machine learning which has shown tremendous growth in its usefulness and popularity in the last few years. The reason is mostly due to its capability to work with large datasets involving high dimensional data, resolving major issues such as vanishing gradient problems, and so on, and techniques to train deeper networks. In this chapter, we have explained most of these concepts in detail, and have also classified the various algorithms of deep learning, which will be elucidated in detail in subsequent chapters.

The next chapter of this book will introduce the association of big data with deep learning. The chapter will mainly focus on how deep learning plays a major role in extracting valuable information from large-scale data.