Machine Learning And Deep Learning In Real Time Applications

Download Machine Learning And Deep Learning In Real Time Applications full books in PDF, epub, and Kindle. Read online free Machine Learning And Deep Learning In Real Time Applications ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Machine Learning and Deep Learning in Real-Time Applications

Machine Learning and Deep Learning in Real-Time Applications
Author :
Publisher : IGI Global
Total Pages : 344
Release :
ISBN-10 : 9781799830979
ISBN-13 : 1799830977
Rating : 4/5 (977 Downloads)

Book Synopsis Machine Learning and Deep Learning in Real-Time Applications by : Mahrishi, Mehul

Download or read book Machine Learning and Deep Learning in Real-Time Applications written by Mahrishi, Mehul and published by IGI Global. This book was released on 2020-04-24 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence and its various components are rapidly engulfing almost every professional industry. Specific features of AI that have proven to be vital solutions to numerous real-world issues are machine learning and deep learning. These intelligent agents unlock higher levels of performance and efficiency, creating a wide span of industrial applications. However, there is a lack of research on the specific uses of machine/deep learning in the professional realm. Machine Learning and Deep Learning in Real-Time Applications provides emerging research exploring the theoretical and practical aspects of machine learning and deep learning and their implementations as well as their ability to solve real-world problems within several professional disciplines including healthcare, business, and computer science. Featuring coverage on a broad range of topics such as image processing, medical improvements, and smart grids, this book is ideally designed for researchers, academicians, scientists, industry experts, scholars, IT professionals, engineers, and students seeking current research on the multifaceted uses and implementations of machine learning and deep learning across the globe.


Machine Learning and Deep Learning in Real-Time Applications Related Books

Machine Learning and Deep Learning in Real-Time Applications
Language: en
Pages: 344
Authors: Mahrishi, Mehul
Categories: Computers
Type: BOOK - Published: 2020-04-24 - Publisher: IGI Global

DOWNLOAD EBOOK

Artificial intelligence and its various components are rapidly engulfing almost every professional industry. Specific features of AI that have proven to be vita
Machine Learning and Deep Learning in Real-Time Applications
Language: en
Pages: 372
Authors: Paawan Sharma
Categories: Computers
Type: BOOK - Published: 2020 - Publisher: Engineering Science Reference

DOWNLOAD EBOOK

Artificial intelligence and its various components are rapidly engulfing almost every professional industry. Specific features of AI that have proven to be vita
Machine Learning and Deep Learning in Real-Time Applications
Language: en
Pages:
Authors: Mehul Mahrishi
Categories: Machine learning
Type: BOOK - Published: 2020 - Publisher: Engineering Science Reference

DOWNLOAD EBOOK

"This book examines recent advancements in deep learning libraries, frameworks and algorithms. It also explores the multidisciplinary applications of machine le
Deep Learning for Coders with fastai and PyTorch
Language: en
Pages: 624
Authors: Jeremy Howard
Categories: Computers
Type: BOOK - Published: 2020-06-29 - Publisher: O'Reilly Media

DOWNLOAD EBOOK

Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with
Deep Learning Applications, Volume 2
Language: en
Pages: 300
Authors: M. Arif Wani
Categories: Technology & Engineering
Type: BOOK - Published: 2020-12-14 - Publisher: Springer

DOWNLOAD EBOOK

This book presents selected papers from the 18th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2019). It focuses on deep learni