BOOKS - PROGRAMMING - Handbook of Research on Deep Learning Innovations and Trends
Handbook of Research on Deep Learning Innovations and Trends - Aboul Ella Hassanien, Ashraf Darwish, Chiranji Lal Chowdhary 2019 PDF  BOOKS PROGRAMMING
ECO~15 kg CO²

1 TON

Views
85393

Telegram
 
Handbook of Research on Deep Learning Innovations and Trends
Author: Aboul Ella Hassanien, Ashraf Darwish, Chiranji Lal Chowdhary
Year: 2019
Pages: 374
Format: PDF
File size: 14.8 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Deep Learning A Practical Introduction
Dive into Deep Learning (Release 0.16.6)
Mathematical Engineering of Deep Learning
Hands-On Deep Learning with Tensorflow
Deep Learning A Visual Approach
Deep Learning in a Disorienting World
Deep Learning Patterns and Practices
Deep Learning for Computer Architects
Deep Learning A Comprehensive Guide
Deep Learning A Practical Introduction
Deep Learning for Video Understanding
A Visual Introduction to Deep Learning
Deep Learning Foundations and Concepts
Deep Learning with R, 2nd Edition
Deep Learning and its Applications using Python
Deep Reinforcement Learning in Action
Deep Learning: Foundations and Concepts
Mathematics of Deep Learning: An Introduction
Pragmatic Deep Learning for Dummies
Deep Learning Foundations and Concepts
A Visual Introduction to Deep Learning
Deep Learning Through the Prism of Tensors
Deep Reinforcement Learning in Action
Handbook for Undergraduate Research Advisors
Handbook of Research on Blockchain Technology
Handbook of Pricing Research in Marketing
The Bloomsbury Research Handbook of Vedanta
Handbook of Applied Investment Research
Deep Learning from Scratch (Early Release)
Various Deep Learning Algorithms in Computational Intelligence
Blockchain and Deep Learning for Smart Healthcare
Deep Learning with Python, 2nd Edition
Deep Learning with PyTorch, Second Edition (MEAP v3)
Deep Learning for Robot Perception and Cognition
Deep Learning with JAX (Final Release)
Attacks, Defenses and Testing for Deep Learning
Deep Learning for 3D Vision Algorithms and Applications
Math and Architectures of Deep Learning (MEAP)
Angular and Deep Learning Pocket Primer
Deep Learning for Vision Systems (Final)