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Item Details
Title:
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MATLAB DEEP LEARNING
WITH MACHINE LEARNING, NEURAL NETWORKS AND ARTIFICIAL INTELLIGENCE |
By: |
Phil Kim |
Format: |
Paperback |

List price:
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£54.99 |
Our price: |
£48.12 |
Discount: |
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You save:
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£6.87 |
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ISBN 10: |
1484228448 |
ISBN 13: |
9781484228449 |
Availability: |
Usually dispatched within 3-5 days.
Delivery
rates
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Stock: |
Currently 5 available |
Publisher: |
APRESS |
Pub. date: |
15 June, 2017 |
Edition: |
1st ed. |
Pages: |
151 |
Description: |
Starting with machine learning fundamentals, this book moves on to neural networks, deep learning, and convolutional neural networks, using MATLAB as the underlying programming language and tool for examples and case studies in this book to tackle some of today's real world big data, smart bots, and other complex data problems. |
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 LearnUse MATLAB for deep learningDiscover neural networks and multi-layer neural networksWork with convolution and pooling layersBuild a MNIST example with these layersWho This Book Is ForThose who want to learn deep learning using MATLAB. Some MATLAB experience may be useful. |
Illustrations: |
20 Illustrations, color; 75 Illustrations, black and white; XVII, 151 p. 95 |
Publication: |
US |
Imprint: |
APress |
Returns: |
Returnable |
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