Name: MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence
Brand: Apress
SKU: 140909681
Price: 500 HKD
Availability: InStock
Rating: 3.62 (21 reviews)

MATLAB Deep Learning

With Machine Learning, Neural Networks and Artificial Intelligence

By Kim, Phil

Rating

21 Ratings by Goodreads

Already own it? Write a review

Format

Paperback, 151 pages

Published

United States, 1 June 2017

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.

Phil Kim, PhD is an experienced MATLAB programmer and user. He also works with algorithms of large data sets drawn from AI, machine learning. He has worked at Korea Aerospace Research Institute as a Senior Researcher. There, his main task was to develop autonomous flight algorithm and onboard software for unmanned aerial vehicle. An on-screen keyboard program named 'Clickey' was developed by him during his period in PhD program and served as a bridge to bring the author currently to his current assignment as a Senior Research Officer at National Rehabilitation Research Institute of Korea.

Our Price

HK$500

Elsewhere

HK$552.32

Save HK$52.32 (9%)

Ships from Australia Estimated delivery date: 22nd Apr - 30th Apr from Australia

Free Shipping Worldwide

Buy together with Kalman Filter for Beginners at a great price!

Buy Together

HK$1,039

Elsewhere Price

HK$1,093.77

You Save HK$54.77 (5%)

Product Description

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.

EAN

9781484228449

ISBN

1484228448

Writer

Kim, Phil

Publisher

Apress

Dimensions

15.5 x 1 x 23.4 centimeters (0.25 kg)

1. Machine Learning.- 2. Neural Network.- 3. Training of Multi-Layer Neural Network.- 4. Neural Network and Classification.- 5. Deep Learning.- 6. Convolutional Neural Network.

About the Author

Phil Kim, PhD is an experienced MATLAB programmer and user. He also works with algorithms of large data sets drawn from AI, machine learning. He has worked at Korea Aerospace Research Institute as a Senior Researcher. There, his main task was to develop autonomous flight algorithm and onboard software for unmanned aerial vehicle. An on-screen keyboard program named 'Clickey' was developed by him during his period in PhD program and served as a bridge to bring the author currently to his current assignment as a Senior Research Officer at National Rehabilitation Research Institute of Korea.

Table of Contents

About the Author