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MATLAB Deep Learning

English, Phil Kim, 2017
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Product details

Get started with MATLAB for deep learning and AI with this in-depth primer. In this book, you begin with machine learning fundamentals, then move on to neural networks, deep learning, and 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 an MNIST example with these layers

Who this book is for:
Those who want to learn deep learning.

Key specifications

topic
Technology & IT
Language
English
Author
Phil Kim
Year
2017
Number of pages
151
Book cover
Paperback

General information

Item number
8129271
Publisher
Springer
Category
Reference books
Release date
30.6.2017

Book properties

topic
Technology & IT
Language
English
Author
Phil Kim
Year
2017
Number of pages
151
Edition
1
Book cover
Paperback

Voluntary climate contribution

CO₂ emissions
0,5 kg
Climate contribution
EUR 0,12

Legal Notice

Product Safety

14-day cancellation right
30-day right of return if unopened
24 Months statutory warranty
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