Description: Further DetailsTitle: Dive into Deep LearningCondition: NewAuthor: Aston Zhang, Zachary C. Lipton, Mu Li, Alexander J. SmolaFormat: PaperbackISBN-10: 1009389432EAN: 9781009389433ISBN: 9781009389433Publisher: Cambridge University PressGenre: Computing & InternetTopic: Language & ReferenceRelease Date: 12/07/2023Description: Deep learning has revolutionized pattern recognition, introducing tools that power a wide range of technologies in such diverse fields 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 fitting 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.Language: EnglishCountry/Region of Manufacture: GBItem Height: 250mmItem Length: 202mmItem Width: 26mmItem Weight: 1380gType: Data Storage & ManagementRelease Year: 2023 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
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Book Title: Dive into Deep Learning
Title: Dive into Deep Learning
ISBN-10: 1009389432
EAN: 9781009389433
ISBN: 9781009389433
Genre: Computing & Internet
Topic: Language & Reference
Release Date: 12/07/2023
Release Year: 2023
Country/Region of Manufacture: GB
Item Weight: 1380g
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
