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
36272

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 Neural Networks-Enabled Intelligent Fault Diagnosis of Mechanical Systems
Computer Programming This Book Includes Machine Learning for Beginners, Machine Learning with Python, Deep Learning with Python, Python for Data Analysis
Programming With Python 4 Manuscripts - Deep Learning With Keras, Convolutional Neural Networks In Python, Python Machine Learning, Machine Learning With Tensorflow
Python Machine Learning Understand Python Libraries (Keras, NumPy, Scikit-lear, TensorFlow) for Implementing Machine Learning Models in Order to Build Intelligent Systems
Machine Learning for Decision Makers, 2 Ed
Intelligent Decision Technologies: Proceedings of the 15th KES-IDT 2023 Conference (Smart Innovation, Systems and Technologies, 352)
Intelligent Networks Principles and applications
Revolutionary Applications of Intelligent Drones
Split Federated Learning for Secure IoT Applications Concepts, frameworks, applications and case studies
Split Federated Learning for Secure IoT Applications Concepts, frameworks, applications and case studies
Machine Learning Techniques and Analytics for Cloud Security (Advances in Learning Analytics for Intelligent Cloud-IoT Systems)
Machine Learning for Beginners A Math Guide to Mastering Deep Learning and Business Application. Understand How Artificial Intelligence, Data Science, and Neural Networks Work Through Real Examples
Building Data Science Applications with FastAPI: Develop, manage, and deploy efficient machine learning applications with Python
Data Science Techniques and Intelligent Applications
Intelligent Optimization Principles, Algorithms and Applications
Intelligent Systems and Applications in Computer Vision
Data-Driven Systems and Intelligent Applications
Intelligent Systems and Applications in Computer Vision
Intelligent Systems and Applications in Computer Vision
Multimodal Intelligent Sensing in Modern Applications
Data-Driven Systems and Intelligent Applications
Intelligent Optimization Principles, Algorithms and Applications
Semantic Technologies for Intelligent Industry 4.0 Applications
Decision Making Applications in Modern Power Systems
Learn AI with Python Explore Machine Learning and Deep Learning techniques for Building Smart AI Systems Using Scikit-Learn
Quantum AI Machine Learning and Deep Learning for Everyone A Beginners Guide to Unlocking Business Opportunities by Leveraging the power of AI in Quantum Age
Quantum AI Machine Learning and Deep Learning for Everyone A Beginners Guide to Unlocking Business Opportunities by Leveraging the power of AI in Quantum Age
Artificial Intelligence For Business How Your Company Can Make More Profit with Machine Learning, Data Science, Big Data, and Deep Learning
Learning PyTorch 2.0, Second Edition Utilize PyTorch 2.3 and CUDA 12 to experiment neural networks and Deep Learning models
Learning PyTorch 2.0 Experiment Deep Learning from basics to complex models using every potential capability of Pythonic PyTorch
Learning PyTorch 2.0, Second Edition Utilize PyTorch 2.3 and CUDA 12 to experiment neural networks and Deep Learning models
Learning PyTorch 2.0 Experiment Deep Learning from basics to complex models using every potential capability of Pythonic PyTorch
Learning PyTorch 2.0: Experiment deep learning from basics to complex models using every potential capability of Pythonic PyTorch
Applied Learning Algorithms for Intelligent IoT
From Machine Learning To Deep Learning
Learning from the Science of Cognition and Perception for Decision Making
Deep Learning with C#, .Net and Kelp.Net The Ultimate Kelp.Net Deep Learning Guide
Learn AI with Python: Explore Machine Learning and Deep Learning techniques for Building Smart AI Systems Using Scikit-Learn, NLTK, NeuroLab, and Keras
Machine Learning: Fundamental Algorithms for Supervised and Unsupervised Learning With Real-World Applications (Advanced Data Analytics Book 1)
Material-Integrated Intelligent Systems Technology and Applications