Free Deep Learning with Hadoop


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Key FeaturesGet to grips with the deep learning concepts and set up Hadoop to put them to useImplement and parallelize deep learning models on Hadoop s YARN frameworkA comprehensive tutorial to distributed deep learning with HadoopBook DescriptionThis 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.What you will learnExplore Deep Learning and various models associated with itUnderstand the challenges of implementing distributed deep learning with Hadoop and how to overcome itImplement Convolutional Neural Network (CNN) with deeplearning4jDelve 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.About the AuthorDipayan Dev has completed his M.Tech from National Institute of Technology, Silchar with a first class first and is currently working as a software professional in Bengaluru, India. He has extensive knowledge and experience in non-relational database technologies, having primarily worked with large-scale data over the last few years. His core expertise lies in Hadoop Framework. During his postgraduation, Dipayan had built an infinite scalable framework for Hadoop, called Dr. Hadoop, which got published in top-tier SCI-E indexed journal of Springer. Dr. Hadoop has recently been cited by Goo Wikipedia in their Apache Hadoop article. Apart from that, he registers interest in a wide range of distributed system technologies, such as Redis, Apache Spark, Elasticsearch, Hive, Pig, Riak, and other NoSQL databases. Dipayan has also authored various research papers and book chapters, which are published by IEEE and top-tier Springer Journals.Table of ContentsIntroduction to Deep LearningDistributed Deep Learning for Large-Scale DataConvolutional Neural NetworkRecurrent Neural NetworkRestricted Boltzmann MachinesAutoencodersMiscellaneous Deep Learning Operations using HadoopReferences Hadoop Spark Deep Learning Mesh on Single GPU Cluster Hadoop Spark Deep Learning Mesh on Single GPU Cluster February 24 2016 Nicole Hemsoth When it comes to leveraging existing Hadoop infrastructure to extend what Deep Learning on Hadoop 20 PayPal Engineering Blog Deep Learning on Hadoop 20 Here we discuss how we have implemented and deployed Deep Learning a cutting edge machine-learning framework in one of the Hadoop Large Scale Distributed Deep Learning on Hadoop Large Scale Distributed Deep Learning on Hadoop Clusters By Cyprien Noel Jun Shi and Andy Feng (@afeng76) Yahoo Big ML Team Introduction In the last 10 years Yahoo Deep Learning with Hadoop - PDF Free Download - Fox eBook Key Features 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 Deep Learning with Hadoop: Dipayan Dev: 9781787124769 Key Features 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 How Yahoos Internal Hadoop Cluster Does Double-Duty on How Yahoos Internal Hadoop Cluster Does Double-Duty on Deep Learning February 16 2017 Nicole Hemsoth Five years ago many bleeding edge IT shops had either Deep Learning with Hadoop [Book] - Safari Build implement and scale distributed deep learning models for large-scale datasets About This Book Get to grips with the deep learning concepts and set up Hadoop to Deeplearning4j: Open-source Distributed Deep Learning for Open-Source Deep-Learning Software for Java and Scala on Hadoop and Spark Deep Learning with Hadoop PACKT Books 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 Skymind - Official Site Skymind supports deep learning for enterprise on Hadoop and Spark operating on distributed CPUs and GPUs
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