Description: MATLAB Deep Learning by Phil Kim Estimated delivery 3-12 business days Format Paperback Condition Brand New 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 todays real world big data, smart bots, and other complex data problems. Publisher Description 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, youll be able to tackle some of todays real world big data, smart bots, and other complex data problems. Youll see how deep learning is a complex and more intelligent aspect of machine learning for modern smart data analysis and usage.What Youll 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. Author Biography 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. Details ISBN 1484228448 ISBN-13 9781484228449 Title MATLAB Deep Learning Author Phil Kim Format Paperback Year 2017 Pages 151 Edition 1st Publisher APress GE_Item_ID:137718822; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 83.97 USD
Location: Fairfield, Ohio
End Time: 2024-11-18T03:46:46.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
ISBN-13: 9781484228449
Book Title: MATLAB Deep Learning
Number of Pages: Xvii, 151 Pages
Publication Name: Matlab Deep Learning : with Machine Learning, Neural Networks and Artificial Intelligence
Language: English
Publisher: Apress L. P.
Publication Year: 2017
Subject: Mathematical & Statistical Software, Intelligence (Ai) & Semantics, Probability & Statistics / General, Databases / General
Item Weight: 95.3 Oz
Type: Textbook
Subject Area: Mathematics, Computers
Item Length: 9.3 in
Author: Phil Kim
Item Width: 6.1 in
Format: Trade Paperback
