BOOKS - PROGRAMMING - Deep Learning Applications and Intelligent Decision Making in E...
Deep Learning Applications and Intelligent Decision Making in Engineering (Advances in Computational Intelligence and Robotics) -  2021 PDF IGI Global BOOKS PROGRAMMING
ECO~15 kg CO²

1 TON

Views
36274

Telegram
 
Deep Learning Applications and Intelligent Decision Making in Engineering (Advances in Computational Intelligence and Robotics)
Year: 2021
Pages: 349
Format: PDF
File size: 20.9 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Deep Learning: Research and Applications
Machine Learning Adoption in Blockchain-Based Intelligent Manufacturing Theoretical Basics, Applications, and Challenges
Deep Learning Applications in Operations Research
Deep Learning Applications in Operations Research
Deep Learning for 3D Vision Algorithms and Applications
Machine and Deep Learning Algorithms and Applications
Deep Learning for Image Processing Applications
Fusion of Machine Learning Paradigms: Theory and Applications (Intelligent Systems Reference Library Book 236)
Deep Learning Techniques for Automation and Industrial Applications
Deep Learning Techniques for Automation and Industrial Applications
Hybrid Metaheuristics in Structural Engineering: Including Machine Learning Applications (Studies in Systems, Decision and Control, 480)
Hands-On Intelligent Agents with OpenAI Gym: Your guide to developing AI agents using deep reinforcement learning
Advanced Deep Learning Applications in Big Data Analytics
Applications of Deep Machine Learning in Future Energy Systems
Applications of Deep Machine Learning in Future Energy Systems
Handbook of Deep Learning in Biomedical Engineering Techniques and Applications
Deep Learning Applications In Computer Vision, Signals And Networks
System Design Using the Internet of Things with Deep Learning Applications
Deep Learning and Medical Applications (Mathematics in Industry Book 40)
Multimodal Scene Understanding Algorithms, Applications and Deep Learning
System Design Using the Internet of Things with Deep Learning Applications
Smart Sensors for Industry 4.0: Fundamentals, Fabrication and IIoT Applications (Advances in Learning Analytics for Intelligent Cloud-IoT Systems)
Fundamentals and Methods of Machine and Deep Learning Algorithms, Tools, and Applications
Deep Reinforcement Learning and Its Industrial Use Cases AI for Real-World Applications
Deep Reinforcement Learning and Its Industrial Use Cases AI for Real-World Applications
Deep Learning for Data Analytics Foundations, Biomedical Applications, and Challenges
Deep Learning for Data Architects: Unleash the power of Python|s deep learning algorithms (English Edition)
Deep Learning for the Life Sciences Applying Deep Learning to Genomics, Microscopy, Drug Discovery, and More First Edition
Building Scalable Deep Learning Pipelines on AWS Develop, Train, and Deploy Deep Learning Models
Deep Learning for Coders with fastai and PyTorch AI Applications Without a PhD (Early Release)
Deep Reinforcement Learning for Wireless Communications and Networking: Theory, Applications and Implementation
Deep Learning Theory, Architectures and Applications in Speech, Image and Language Processing
Deep Learning Applications in Medical Image Segmentation Overview, Approaches, and Challenges
Deep Learning Theory, Architectures and Applications in Speech, Image and Language Processing
Deep Reinforcement Learning for Wireless Communications and Networking Theory, Applications and Implementation
Real-World Natural Language Processing Practical applications with deep learning
Deep Learning fur die Biowissenschaften Einsatz von Deep Learning in Genomik, Biophysik, Mikroskopie und medizinischer Analyse
Deep Learning for the Life Sciences Applying Deep Learning to Genomics, Microscopy, Drug Discovery, and More
Deep Learning for Data Architects Unleash the power of Python|s deep learning algorithms
Anatomy of Deep Learning Principles: Writing a deep learning library from scratch (Japanese Edition)