Concepts And Real Time Applications Of Deep Learning

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


Related Books

Concepts and Real-Time Applications of Deep Learning
Language: en
Pages: 212
Authors: Smriti Srivastava
Categories: Technology & Engineering
Type: BOOK - Published: 2021-09-23 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book provides readers with a comprehensive and recent exposition in deep learning and its multidisciplinary applications, with a concentration on advances
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
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
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
Modern Computer Vision with PyTorch
Language: en
Pages: 805
Authors: V Kishore Ayyadevara
Categories: Computers
Type: BOOK - Published: 2020-11-27 - Publisher: Packt Publishing Ltd

DOWNLOAD EBOOK

Get to grips with deep learning techniques for building image processing applications using PyTorch with the help of code notebooks and test questions Key Featu