Description: Dive into Deep Learning by Aston Zhang, Zachary C. Lipton, Mu Li, Alexander J. Smola Estimated delivery 3-12 business days Format Paperback Condition Brand New Description This approachable text teaches all the concepts, the context, and the code needed to understand deep learning. Suitable for students and professionals, the book doesnt require any previous background in machine learning or deep learning. Interactive examples feature throughout, with runnable code and executable Jupyter notebooks available online. Publisher Description Deep learning has revolutionized pattern recognition, introducing tools that power a wide range of technologies in such diverse elds as computer vision, natural language processing, and automatic speech recognition. Applying deep learning requires you to simultaneously understand how to cast a problem, the basic mathematics of modeling, the algorithms for tting your models to data, and the engineering techniques to implement it all. This book is a comprehensive resource that makes deep learning approachable, while still providing sufficient technical depth to enable engineers, scientists, and students to use deep learning in their own work. No previous background in machine learning or deep learning is required—every concept is explained from scratch and the appendix provides a refresher on the mathematics needed. Runnable code is featured throughout, allowing you to develop your own intuition by putting key ideas into practice. Author Biography Aston Zhang is Senior Scientist at Amazon Web Services. Zachary C. Lipton is Assistant Professor of Machine Learning and Operations Research at Carnegie Mellon University. Mu Li is Senior Principal Scientist at Amazon Web Services. Alexander J. Smola is VP/Distinguished Scientist for Machine Learning at Amazon Web Services. Details ISBN 1009389432 ISBN-13 9781009389433 Title Dive into Deep Learning Author Aston Zhang, Zachary C. Lipton, Mu Li, Alexander J. Smola Format Paperback Year 2023 Pages 574 Publisher Cambridge University Press GE_Item_ID:158561670; 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: 36.36 USD
Location: Fairfield, Ohio
End Time: 2024-11-19T04:24:53.000Z
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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: 9781009389433
Book Title: Dive into Deep Learning
Number of Pages: 574 Pages
Publication Name: Dive Into Deep Learning
Language: English
Publisher: Cambridge University Press
Item Height: 1 in
Subject: General, Computer Vision & Pattern Recognition
Publication Year: 2023
Type: Textbook
Author: Mu Li, Zachary C. Lipton, Aston Zhang, Alexander J. Smola
Subject Area: Computers, Science
Item Length: 10 in
Item Width: 8 in
Format: Trade Paperback