Description

Book Synopsis
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

Table of Contents
1. Machine Learning2. Neural Network3. Training of Multi-Layer Neural Network4. Neural Network and Classification5. Deep Learning6. Convolutional Neural Network

MATLAB Deep Learning

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£49.49

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RRP £54.99 – you save £5.50 (10%)

Order before 4pm today for delivery by Fri 9 Jan 2026.

A Paperback / softback by Phil Kim

1 in stock


    View other formats and editions of MATLAB Deep Learning by Phil Kim

    Publisher: APress
    Publication Date: 15/06/2017
    ISBN13: 9781484228449, 978-1484228449
    ISBN10: 1484228448

    Description

    Book Synopsis
    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

    Table of Contents
    1. Machine Learning2. Neural Network3. Training of Multi-Layer Neural Network4. Neural Network and Classification5. Deep Learning6. Convolutional Neural Network

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