BOOKS - PROGRAMMING - Advanced Methods and Deep Learning in Computer Vision
Advanced Methods and Deep Learning in Computer Vision - E.R. Davies, Matthew A. Turk 2022 PDF Elsevier Inc. BOOKS PROGRAMMING
ECO~19 kg CO²

2 TON

Views
88730

Telegram
 
Advanced Methods and Deep Learning in Computer Vision
Author: E.R. Davies, Matthew A. Turk
Year: 2022
Pages: 584
Format: PDF
File size: 26,5 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Applications of Deep Machine Learning in Future Energy Systems
MATLAB Deep Learning Toolbox Getting Started Guide (R2020a)
Understanding Deep Learning Application in Rare Event Prediction
Tandem Cold Metal Rolling Mill Control: Using Practical Advanced Methods (Advances in Industrial Control)
Ethical Password Cracking: Decode passwords using John the Ripper, hashcat, and advanced methods for password breaking
Computational and Analytic Methods in Biological Sciences Bioinformatics with Machine Learning and Mathematical Modelling
Model Optimization Methods for Efficient and Edge AI Federated Learning Architectures, Frameworks and Applications
Computational and Analytic Methods in Biological Sciences Bioinformatics with Machine Learning and Mathematical Modelling
Model Optimization Methods for Efficient and Edge AI Federated Learning Architectures, Frameworks and Applications
Ultimate Step by Step Guide to Deep Learning Using Python Artificial Intelligence and Neural Network Concepts Explained in Simple Terms (Ultimate Step by Step Guide to Machine Learning Book 2)
Introduction to Deep Learning and Neural Networks with Python™ A Practical Guide
Deep Learning Techniques and Optimization Strategies in Big Data Analytics
Geometry of Deep Learning: A Signal Processing Perspective (Mathematics in Industry, 37)
Evolutionary Deep Learning Genetic algorithms and neural networks (MEAP)
Deep Reinforcement Learning and Its Industrial Use Cases AI for Real-World Applications
Deep Learning in Medical Image Processing and Analysis (Healthcare Technologies)
Shallow and Deep Learning Principles: Scientific, Philosophical, and Logical Perspectives
Data-Driven Clinical Decision-Making Using Deep Learning in Imaging
Probabilistic Deep Learning With Python, Keras and TensorFlow Probability (Final)
Toward Artificial General Intelligence: Deep Learning, Neural Networks, Generative AI
Strategies for Deep Learning with Digital Technology Theories and Practices in Education
Deep Learning Illustrated A Visual, Interactive Guide to Artificial Intelligence
Toward Artificial General Intelligence Deep Learning, Neural Networks, Generative AI
Deep Learning for Data Analytics Foundations, Biomedical Applications, and Challenges
Federated Deep Learning for Healthcare A Practical Guide with Challenges and Opportunities
AlphaGo Simplified Rule-Based AI and Deep Learning in Everyday Games
Toward Artificial General Intelligence Deep Learning, Neural Networks, Generative AI
Federated Deep Learning for Healthcare A Practical Guide with Challenges and Opportunities
Introduction to Deep Learning for Engineers Using Python and Google Cloud Platform
Deep Learning for Natural Language Processing (MEAP Edition) +code
Deep Reinforcement Learning and Its Industrial Use Cases AI for Real-World Applications
MATLAB Deep Learning Toolbox User|s Guide (R2020a)
AlphaGo Simplified Rule-Based AI and Deep Learning in Everyday Games
Deep Learning Illustrated A Visual, Interactive Guide to Artificial Intelligence
Deep Learning Examples with PyTorch and fastai A Developers| Cookbook
Machine and Deep Learning Using MATLAB: Algorithms and Tools for Scientists and Engineers
Data-Driven Clinical Decision-Making Using Deep Learning in Imaging
Deep Reinforcement Learning with Python: With PyTorch, TensorFlow and OpenAI Gym
Emerging Technologies for Healthcare Internet of Things and Deep Learning Models