BOOKS - PROGRAMMING - Deep Learning for Engineers
Deep Learning for Engineers - Tariq M. Arif, Md Adilur Rahim 2024 PDF CRC Press BOOKS PROGRAMMING
ECO~12 kg CO²

1 TON

Views
54136

Telegram
 
Deep Learning for Engineers
Author: Tariq M. Arif, Md Adilur Rahim
Year: 2024
Pages: 170
Format: PDF
File size: 18.9 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Deep Learning Foundations and Concepts
Deep Learning Foundations and Concepts
Deep Learning For Physics Research
Deep Learning A Visual Approach
Deep Learning: Research and Applications
Mathematical Engineering of Deep Learning
Deep Learning for Video Understanding
Math and Architectures of Deep Learning
Deep Learning: Foundations and Concepts
Deep Learning A Practical Introduction
Deep Learning A Practical Introduction
Deep Learning for Computer Architects
Deep Learning for Multimedia Processing
A Visual Introduction to Deep Learning
Deep Learning Patterns and Practices
Deep Learning A Comprehensive Guide
Deep Reinforcement Learning in Action
A Visual Introduction to Deep Learning
Pragmatic Deep Learning for Dummies
Dive into Deep Learning (Release 0.16.6)
Deep Learning with PyTorch, Second Edition (MEAP v5)
Deep Learning Approaches to Cloud Security
Deep Learning with PyTorch, Second Edition (MEAP v5)
Deep Learning from Scratch (Early Release)
Practical Deep Reinforcement Learning with Python
Deep Learning for Internet of Things Infrastructure
Deep Learning Concepts in Operations Research
Deep Learning at Scale (Third Early Release)
Blockchain and Deep Learning for Smart Healthcare
Neural Networks and Deep Learning: A Textbook
Deep Learning, Vol. 2 From Basics to Practice
Explainable Deep Learning AI: Methods and Challenges
Practical Deep Learning for Cloud and Mobile
Various Deep Learning Algorithms in Computational Intelligence
Angular and Deep Learning Pocket Primer
Fundamentals of Deep Learning, 2nd Edition
Deep Learning for Robot Perception and Cognition
Deep Learning with Python, 2nd Edition
Deep Learning Applications in Operations Research
Deep Learning, Vol. 1 From Basics to Practice