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
36271

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:

AI-Driven Cybersecurity and Threat Intelligence Cyber Automation, Intelligent Decision-Making and Explainability
Python Deep Learning: Understand how deep neural networks work and apply them to real-world tasks
Deep Learning via Rust State of the Art Deep Learning in Rust
Artificial Intelligence in Prescriptive Analytics Innovations in Decision Analysis, Intelligent Optimization, and Data-Driven Decisions
Intelligent Reliability and Maintainability of Energy Infrastructure Assets (Studies in Systems, Decision and Control Book 473)
Machine Learning For Beginners Guide Algorithms Supervised & Unsupervsied Learning. Decision Tree & Random Forest Introduction
Agricultural Informatics Automation Using the IoT and Machine Learning (Advances in Learning Analytics for Intelligent Cloud-IoT Systems)
Activation Functions: Activation Functions in Deep Learning with LaTeX Applications
Machine Learning with Python Cookbook Practical Solutions from Preprocessing to Deep Learning
Enneagram: Visible Learning and Deep Learning Book for Highly Sensitive Person
Bio-inspired Algorithms in Machine Learning and Deep Learning for Disease Detection
Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems
Disease Prediction using Machine Learning, Deep Learning and Data Analytics
Disease Prediction using Machine Learning, Deep Learning and Data Analytics
Python AI Programming Navigating fundamentals of ML, Deep Learning, NLP, and reinforcement learning in practice
Python AI Programming: Navigating fundamentals of ML, deep learning, NLP, and reinforcement learning in practice
Python AI Programming Navigating fundamentals of ML, Deep Learning, NLP, and reinforcement learning in practice
Machine Learning and Deep Learning in Natural Language Processing
Machine Learning - A Journey To Deep Learning With Exercises And Answers
Machine Learning and Deep Learning in Natural Language Processing
TensorFlow for Deep Learning From Linear Regression to Reinforcement Learning
Machine Learning and Deep Learning in Neuroimaging Data Analysis
Machine Learning and Deep Learning in Neuroimaging Data Analysis
Learning TensorFlow A Guide to Building Deep Learning Systems
Python Machine Learning The Ultimate Guide for Beginners to Machine Learning with Python, Programming and Deep Learning, Artificial Intelligence, Neural Networks, and Data Science
Learning Deep Learning Theory and Practice of Neural Networks, Computer Vision, NLP, and Transformers using TensorFlow
Default Loan Prediction Based On Customer Behavior Using Machine Learning And Deep Learning With Python, Second Edition
Debugging Machine Learning Models with Python: Develop high-performance, low-bias, and explainable machine learning and deep learning models
Machine Learning with Python Cookbook Practical Solutions from Preprocessing to Deep Learning, 2nd Edition (Final Release)
Machine Learning with Python Cookbook Practical Solutions from Preprocessing to Deep Learning, 2nd Edition (Final Release)
Data Scientist Pocket Guide Over 600 Concepts, Terminologies, and Processes of Machine Learning and Deep Learning Assembled
Programming Machine Learning From Coding to Deep Learning
Linear Algebra And Optimization With Applications To Machine Learning - Volume II Fundamentals of Optimization Theory with Applications to Machine Learning
Data Science Crash Course Thyroid Disease Classification and Prediction Using Machine Learning and Deep Learning with Python GUI, Second Edition
Learning Deep Learning Theory and Practice of Neural Networks, Computer Vision, NLP, and Transformers using TensorFlow (Rough Cuts)
Deep Learning and XAI Techniques for Anomaly Detection: Integrate the theory and practice of deep anomaly explainability
Intelligent Network Management and Control Intelligent Security, Multi-criteria Optimization, Cloud Computing, Internet of Vehicles, Intelligent Radio
Fog Computing for Intelligent Cloud IoT Systems (Advances in Learning Analytics for Intelligent Cloud-IoT Systems)
Deep Neural Networks-Enabled Intelligent Fault Diagnosis of Mechanical Systems
Deep Neural Networks-Enabled Intelligent Fault Diagnosis of Mechanical Systems