BOOKS - PROGRAMMING - Machine Learning Applications From Computer Vision to Robotics
Machine Learning Applications From Computer Vision to Robotics - Indranath Chatterjee, Sheetal Zalte 2024 PDF | EPUB Wiley-IEEE Press BOOKS PROGRAMMING
ECO~14 kg CO²

1 TON

Views
69120

Telegram
 
Machine Learning Applications From Computer Vision to Robotics
Author: Indranath Chatterjee, Sheetal Zalte
Year: 2024
Pages: 240
Format: PDF | EPUB
File size: 10.2 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Integrating Metaheuristics in Computer Vision for Real-World Optimization Problems
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
Human Activity and Behavior Analysis Advances in Computer Vision and Sensors Volume 2
Human Activity and Behavior Analysis Advances in Computer Vision and Sensors Volume 1
Computer Vision and Robotics: Proceedings of CVR 2023 (Algorithms for Intelligent Systems)
MATLAB & Simulink Computer Vision Toolbox User’s Guide (R2021b)
Human Activity and Behavior Analysis Advances in Computer Vision and Sensors Volume 1
Advances in Face Presentation Attack Detection (Synthesis Lectures on Computer Vision)
Human Activity and Behavior Analysis Advances in Computer Vision and Sensors Volume 2
Teacher Education in Computer-Assisted Language Learning: A Sociocultural and Linguistic Perspective (Advances in Digital Language Learning and Teaching)
Fine-Grained Image Analysis: Modern Approaches (Synthesis Lectures on Computer Vision)
Introduction to Visual Computing Core Concepts in Computer Vision, Graphics, and Image Processing
Video Object Tracking: Tasks, Datasets, and Methods (Synthesis Lectures on Computer Vision)
Deep Learning for Vision Systems (Final)
Cognitive Vision Psychology of Learning and Motivation
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
Agricultural Informatics Automation Using the IoT and Machine Learning (Advances in Learning Analytics for Intelligent Cloud-IoT Systems)
Machine Learning With Python 3 books in 1 Hands-On Learning for Beginners+An in-Depth Guide Beyond the Basics+A Practical Guide for Experts
Learn AI with Python Explore Machine Learning and Deep Learning techniques for Building Smart AI Systems Using Scikit-Learn
Learning Google Cloud Vertex AI: Build, deploy, and manage machine learning models with Vertex AI (English Edition)
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
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 4 books in 1 AI For Beginners + AI For Business + Machine Learning For Beginners + Machine Learning And Artificial Intelligence
Learning Pandas 2.0: A Comprehensive Guide to Data Manipulation and Analysis for Data Scientists and Machine Learning Professionals
Machine Learning For Beginners Guide Algorithms Supervised & Unsupervsied Learning. Decision Tree & Random Forest Introduction
Deep Learning for Finance Creating Machine & Deep Learning Models for Trading in Python
Active Machine Learning with Python: Refine and elevate data quality over quantity with active learning
Learning Google Cloud Vertex AI Build, deploy, and manage machine learning models with Vertex AI
Deep Learning for Finance Creating Machine & Deep Learning Models for Trading in Python
Learning Google Cloud Vertex AI Build, deploy, and manage machine learning models with Vertex AI
From Machine Learning To Deep Learning
Deep Learning for Vision Systems (MEAP Edition)
Learn AI with Python: Explore Machine Learning and Deep Learning techniques for Building Smart AI Systems Using Scikit-Learn, NLTK, NeuroLab, and Keras
Learn Autonomous Programming with Python Utilize Python|s capabilities in Artificial Intelligence, Machine Learning, Deep Learning and robotic process automation
Python Programming The Crash Course for Python – Learn the Secrets of Machine Learning, Data Science Analysis and Artificial Intelligence. Introduction to Deep Learning for Beginners
Learn Autonomous Programming with Python Utilize Python|s capabilities in Artificial Intelligence, Machine Learning, Deep Learning and robotic process automation
Deep Learning and AI Superhero Mastering TensorFlow, Keras, and PyTorch Advanced Machine Learning and AI, Neural Networks, and Real-World Projects (Mastering the AI Revolution)
Grokking Algorithms Simple and Effective Methods to Grokking Deep Learning and Machine Learning