Apress | MATLAB Deep Learning (2017 EN)

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  1. Kanka

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    Author: SeongPil Kim
    Full Title: MATLAB Deep Learning: With Machine Learning, Neural Networks And Artificial Intelligence
    Publisher: Apress; 1st ed. edition (June 15, 2017)
    Year: 2017
    ISBN-13: 9781484228456 (978-1-4842-2845-6), 9781484228449 (978-1-4842-2844-9)
    ISBN-10: 1484228456, 1484228448
    Pages: 151
    Language: English
    Genre: Big Data
    File type: PDF (True)
    Quality: 10/10
    Price: 38.47 €


    Get started with MATLAB for deep learning and AI with this in-depth primer. In this book, you start with machine learning fundamentals, then move on to neural networks, deep learning, and then convolutional neural networks. In a blend of fundamentals and applications, MATLAB Deep Learning employs MATLAB as the underlying programming language and tool for the examples and case studies in this book.

    With this book, you'll be able to tackle some of today's real world big data, smart bots, and other complex data problems. You’ll see how deep learning is a complex and more intelligent aspect of machine learning for modern smart data analysis and usage.


    What You'll Learn:
    ✓ Use MATLAB for deep learning
    ✓ Discover neural networks and multi-layer neural networks
    ✓ Work with convolution and pooling layers
    ✓ Build a MNIST example with these layers

    Who This Book Is For:
    Those who want to learn deep learning using MATLAB. Some MATLAB experience may be useful.

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    Last edited by a moderator: Aug 7, 2020