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

Chapter 3.  Convolutional Neural Network


"The question of whether a computer can think is no more interesting than the question of whether a submarine can swim."

 --Edsger W. Dijkstra

Convolutional neural network (CNN)--doesn't it give an uncanny feeling about the combination of mathematics and biology with some negligible amount of computer science added? However, these type of networks have been some of the most dominant and powerful architectures in the field of computer vision. CNN started to gain its popularity after 2012, when there were huge improvements in the precision of classification, credit to some pioneer in the field of deep learning. Ever since then, a bunch of high-tech companies have been using deep CNN for various services. Amazon uses CNN for their product recommendations, Google uses it for their photo search, and Facebook primarily uses it for its automatic tagging algorithms.

CNN [89] is a type of feed-forward neural network comprised of neurons, which have learnable...