Deep Learning with Hadoop
English | ISBN: 1787124762 | 2017 | EPUB | 259 Pages | 9,3 MB
Get to grips with the deep learning concepts and set up Hadoop to put them to use.
Implement and parallelize deep learning models on Hadoop's YARN framework.
A comprehensive tutorial to distributed deep learning with Hadoop
Deep Learning involves extracting features and insights from multiple layers of the data. This book will teach you how to deploy the deep learning networks with Hadoop.
Starting with understanding what deep learning is and what the various models associated with deep learning 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 Hadoop. The book will also show you how you can implement and parallelize Deep Belief Networks, CNN, RNN, RBM and much more using the popular deep learning library deeplearning4j. Get in depth mathematical explanations, visual representations to understand the implementation of Denoising AutoEncoders with deeplearning4j. To give you a more practical perspective, the book will also teach you how you can implement image classification, audio processing and natural language processing on Hadoop.
By the end of this book, you will know how to deploy deep learning in distributed systems using Hadoop
What you will learn
Explore Deep Learning and various models associated with it.
Understand the challenges of implementing distributed deep learning with Hadoop and how to overcome it
Implement Convolutional Neural Network (CNN) with deeplearning4j
Delve into the implementation of Restricted Boltzmann Machines (RBM)
Understand the mathematical explanation for implementing Recurrent Neural Networks (RNN)
Get hands on practice of deep learning and their implementation with Hadoop.
Tabular Modeling with SQL Server 2016 Analysis Services Cookbook
Mastering Apache Flink
Data Mining: A Tutorial-Based Primer, Second Edition
Oracle Business Intelligence and Essbase Solutions Guide
Advances in Intelligent Data Analysis XV
MCITP SQL Server 2005 Database Developer All-in-One Exam Guide by Darril Gibson
SQL Server 2008 Transact-SQL Recipes: A Problem-Solution Approach
Database and XML Technologies
Amazon Web Services in Action
PostgreSQL Developer s Guide
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.
Python Data Science Handbook: Essential To(2563)
Mastering Data Mining with Python - Find p(2554)
Text Analytics with Python: A Practical Re(2517)
Practical Data Analysis - Second Edition(2326)
Principles of Data Mining, 3rd edition(2245)
Scientific Computing with Python 3 - Secon(2208)
Mastering Social Media Mining with Python(2101)
Mastering Python Data Analysis(2099)
Introduction to Artificial Intelligence(2060)
Tableau: Creating Interactive Data Visuali(2054)
Big Data Analytics with Spark and Hadoop(2031)
S Q L: The Ultimate Guide From Beginner To(2002)
R: Unleash Machine Learning Techniques(1942)
Data Analysis Using SQL and Excel, 2nd Edi(1855)
Principles of Data Science(1847)