Download Deep Learning with Hadoop by Dipayan Dev PDF

By Dipayan Dev

Key Features

  • Get to grips with the deep studying thoughts and arrange Hadoop to place them to use
  • Implement and parallelize deep studying versions on Hadoop's YARN framework
  • A complete instructional to allotted deep studying with Hadoop

Book Description

This publication will train you ways to installation large-scale dataset in deep neural networks with Hadoop for optimum performance.

Starting with realizing what deep studying is, and what a number of the types linked to deep neural networks are, this ebook will then make it easier to organize the Hadoop surroundings for deep studying. during this publication, additionally, you will the best way to conquer the demanding situations that you just face whereas enforcing dispensed deep studying with large-scale unstructured datasets. The publication also will convey you ways you could enforce and parallelize the commonly used deep studying versions corresponding to Deep trust Networks, Convolutional Neural Networks, Recurrent Neural Networks, limited Boltzmann Machines and autoencoder utilizing the preferred deep studying library deeplearning4j.

Get in-depth mathematical motives and visible representations that will help you comprehend the layout and implementations of Recurrent Neural community and Denoising AutoEncoders with deeplearning4j. to offer you a simpler standpoint, the booklet also will educate you the implementation of large-scale video processing, snapshot processing and traditional language processing on Hadoop.

By the top of this publication, you are going to understand how to set up a variety of deep neural networks in disbursed structures utilizing Hadoop.

What you are going to learn

  • Explore Deep studying and diverse types linked to it
  • Understand the demanding situations of imposing disbursed deep studying with Hadoop and the way to beat it
  • Implement Convolutional Neural community (CNN) with deeplearning4j
  • Delve into the implementation of constrained Boltzmann Machines (RBM)
  • Understand the mathematical cause of imposing Recurrent Neural Networks (RNN)
  • Get fingers on perform of deep studying and their implementation with Hadoop.

About the Author

Dipayan Dev has accomplished his M.Tech from nationwide Institute of expertise, Silchar with a firstclass first and is at the moment operating as a software program specialist in Bengaluru, India. He has broad wisdom and adventure in non-relational database applied sciences, having basically labored with large-scale info over the past few years. His center services lies in Hadoop Framework. in the course of his postgraduation, Dipayan had outfitted an unlimited scalable framework for Hadoop, known as Dr. Hadoop, which acquired released in top-tier SCI-E listed magazine of Springer (http://link.springer.com/article/10.1631/FITEE.1500015). Dr. Hadoop has lately been pointed out by way of Goo Wikipedia of their Apache Hadoop article. except that, he registers curiosity in a variety of dispensed method applied sciences, comparable to Redis, Apache Spark, Elasticsearch, Hive, Pig, Riak, and different NoSQL databases. Dipayan has additionally authored a variety of study papers and e-book chapters, that are released through IEEE and top-tier Springer Journals. to grasp extra approximately him, you can even stopover at his LinkedIn profile https://www.linkedin.com/in/dipayandev.

Table of Contents

  1. Introduction to Deep Learning
  2. Distributed Deep studying for Large-Scale Data
  3. Convolutional Neural Network
  4. Recurrent Neural Network
  5. Restricted Boltzmann Machines
  6. Autoencoders
  7. Miscellaneous Deep studying Operations utilizing Hadoop
  8. References

Show description

Read or Download Deep Learning with Hadoop PDF

Best data modeling & design books

Data Quality: The Accuracy Dimension (The Morgan Kaufmann Series in Data Management Systems)

Information caliber: The Accuracy size is set assessing the standard of company facts and bettering its accuracy utilizing the knowledge profiling technique. company info is more and more vital as businesses proceed to discover new how you can use it. Likewise, enhancing the accuracy of knowledge in info structures is quick changing into an immense target as businesses observe how a lot it impacts their base line.

PEM Fuel Cell Modeling and Simulation Using Matlab

Even supposing, the elemental idea of a gas cellphone is kind of easy, growing new designs and optimizing their functionality takes critical paintings and a mastery of a number of technical parts. PEM gasoline phone Modeling and Simulation utilizing Matlab, presents layout engineers and researchers with a priceless software for knowing and overcoming boundaries to designing and development the subsequent new release of PEM gasoline Cells.

Probability, Markov Chains, Queues, and Simulation: The Mathematical Basis of Performance Modeling

Chance, Markov Chains, Queues, and Simulation offers a latest and authoritative therapy of the mathematical techniques that underlie functionality modeling. The distinct reasons of mathematical derivations and various illustrative examples make this textbook simply available to graduate and complicated undergraduate scholars taking classes during which stochastic strategies play a basic position.

Creating a Data-Driven Organization: Practical Advice from the Trenches

What do you want to turn into a data-driven association? excess of having immense information or a crack group of unicorn info scientists, it calls for setting up an efficient, deeply-ingrained facts tradition. This sensible booklet exhibits you the way precise data-drivenness consists of procedures that require actual buy-in throughout your organization, from analysts and administration to the C-Suite and the board.

Extra resources for Deep Learning with Hadoop

Sample text

Download PDF sample

Rated 4.57 of 5 – based on 30 votes