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    Deep Learning with Hadoop. Distributed Deep Learning with Large-Scale Data

    (ebook) (audiobook) (audiobook) Język publikacji: angielski
    Deep Learning with Hadoop. Distributed Deep Learning with Large-Scale Data Dipayan Dev - okładka ebooka

    Deep Learning with Hadoop. Distributed Deep Learning with Large-Scale Data Dipayan Dev - okładka ebooka

    Deep Learning with Hadoop. Distributed Deep Learning with Large-Scale Data Dipayan Dev - okładka audiobooka MP3

    Deep Learning with Hadoop. Distributed Deep Learning with Large-Scale Data Dipayan Dev - okładka audiobooks CD

    Ocena:
    Bądź pierwszym, który oceni tę książkę
    Stron:
    206
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    Ebook

    119,00 zł

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    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.

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    O autorze ebooka

    Dipayan 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 (http://link.springer.com/article/10.1631/FITEE.1500015). 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. To know more about him, you can also visit his LinkedIn profile https://www.linkedin.com/in/dipayandev.

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