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
88729

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:

Deep Learning Tools for Predicting Stock Market Movements
Deep Learning for Medical Image Analysis, 2nd Edition
Deep Learning (MIT Press Essential Knowledge series)
Deep Learning for Natural Language Processing: A Gentle Introduction
Demystifying Deep Learning An Introduction to the Mathematics of Neural Networks
Generative Deep Learning with Python Unleashing the Creative Power of AI
Introduction to Deep Learning with complete Python and TensorFlow examples
Deep Learning and Medical Applications (Mathematics in Industry Book 40)
Generative Deep Learning with Python Unleashing the Creative Power of AI
Hyperparameter Tuning for Machine and Deep Learning with R: A Practical Guide
Multimodal Scene Understanding Algorithms, Applications and Deep Learning
Understanding Deep Learning Application in Rare Event Prediction
Deep Learning for Medical Image Analysis, 2nd Edition
Handbook of Deep Learning in Biomedical Engineering Techniques and Applications
Deep Learning Cookbook Practical Recipes to Get Started Quickly
MATLAB Deep Learning Toolbox User’s Guide (R2024b)
Evolutionary Deep Learning: Genetic algorithms and neural networks
Deep Learning Models A Practical Approach for Hands-On Professionals
Many-Sorted Algebras for Deep Learning & Quantum Technology
Deep Learning for Natural Language Processing A Gentle Introduction
Deep Learning for Natural Language Processing A Gentle Introduction
Deep Learning with Python, 2nd Edition (MEAP Version 4)
Foundations of Deep Reinforcement Learning Theory and Practice in Python
Deep Learning Tools for Predicting Stock Market Movements
Many-Sorted Algebras for Deep Learning & Quantum Technology
MATLAB Deep Learning Toolbox User’s Guide (R2022b)
Deep Learning Models A Practical Approach for Hands-On Professionals
System Design Using the Internet of Things with Deep Learning Applications
GANs in Action Deep learning with Generative Adversarial Networks
Deep Learning from first principles Second Edition In vectorized Python, R and Octave
Inside Deep Learning Math, Algorithms, Models (MEAP)
Practical MATLAB Deep Learning: A Project-Based Approach
Generative Deep Learning, 2nd Edition (Early Release)
Deep Learning Tools for Predicting Stock Market Movements
System Design Using the Internet of Things with Deep Learning Applications
Deep Learning for Computer Vision with Python Starter Bundle
Deep Learning Applications In Computer Vision, Signals And Networks
Deep Learning Tools for Predicting Stock Market Movements
Applications of Deep Machine Learning in Future Energy Systems
Hardware Architectures for Deep Learning (Materials, Circuits and Devices)