BOOKS - PROGRAMMING - Building Computer Vision Applications Using Artificial Neural N...
Building Computer Vision Applications Using Artificial Neural Networks With Examples in OpenCV and TensorFlow with Python 2nd Edition - Shamshad Ansari 2023 PDF Apress BOOKS PROGRAMMING
ECO~19 kg CO²

2 TON

Views
39076

Telegram
 
Building Computer Vision Applications Using Artificial Neural Networks With Examples in OpenCV and TensorFlow with Python 2nd Edition
Author: Shamshad Ansari
Year: 2023
Pages: 541
Format: PDF
File size: 18.6 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Introducing Technology Computer-Aided Design (TCAD) Fundamentals, Simulations, and Applications
C++ for Game Developers: Building Scalable and Robust Gaming Applications
Ruby Programming Building Future-proof Scalable Applications
Building Machine Learning Powered Applications (Early Release)
Learning Airtable: Building Database-Driven Applications with No-Code
Iron-Clad Java Building Secure Web Applications
Cloud-Native DevOps: Building Scalable and Reliable Applications
Let|s Go Further! Advanced patterns for building APIs and web applications in Go
Pythonic AI A beginner|s guide to building AI applications in Python
RESTful Rails Development Building Open Applications and Services
Cybersecurity and Artificial Intelligence: Transformational Strategies and Disruptive Innovation (Advanced Sciences and Technologies for Security Applications)
Learn OpenCV with Python by Examples: Implement Computer Vision Algorithms Provided by OpenCV with Python for Image Processing, Object Detection and Machine Learning
Digital Image Processing and Analysis Computer Vision and Image Analysis, 4th Edition
Digital Image Processing and Analysis Computer Vision and Image Analysis, 4th Edition
Domain-Specific Computer Architectures for Emerging Applications: Machine Learning and Neural Networks
Domain-Specific Computer Architectures for Emerging Applications Machine Learning and Neural Networks
Advanced Computer Science Applications Recent Trends in AI, Machine Learning, and Network Security
Fundamentals of Digital Forensics: A Guide to Theory, Research and Applications (Texts in Computer Science)
Domain-Specific Computer Architectures for Emerging Applications Machine Learning and Neural Networks
Coding Examples from Simple to Complex: Applications in JavaScript(TM) (Synthesis Lectures on Computer Science)
Learning Airtable Building Database-Driven Applications with No-Code (Final)
Generative AI on AWS Building Context-Aware Multimodal Reasoning Applications
Django Unleashed: Building Web Applications with Python|s Framework
Django Unleashed Building Web Applications with Python|s Framework
Code with Java 21 A practical approach for building robust and efficient applications
Building Applications on Mesos Leveraging Resilient, Scalable, and Distributed Systems
Django Unleashed Building Web Applications with Python|s Framework
Essential PHP Security A Guide to Building Secure Web Applications
Database Management Systems Designing and Building Business Applications, version 6.0.0
Code with Java 21 A practical approach for building robust and efficient applications
Enterprise Web Development Building HTML5 Applications From Desktop to Mobile
Generative AI on AWS Building Context-Aware Multimodal Reasoning Applications
Learn OpenCV with Python by Examples Implement Computer Vision Algorithms Provided by OpenCV with Python for Image Processing, Object Detection and Machine Learning 2nd Edition
Practical Mathematics for AI and Deep Learning: A Concise yet In-Depth Guide on Fundamentals of Computer Vision, NLP, Complex Deep Neural Networks and Machine Learning (English Edition)
Safe Autonomy with Control Barrier Functions: Theory and Applications (Synthesis Lectures on Computer Science)
Pretrain Vision and Large Language Models in Python: End-to-end techniques for building and deploying foundation models on AWS
Pythonic AI: A beginner|s guide to building AI applications in Python (English Edition)
Kubernetes Cookbook Building Cloud Native Applications, 2nd Edition (Final)
Learning Dapr Building Distributed Cloud Native Applications (Early Release)
TypeScript Crash Course A Hands-On Guide to Building Safer and More Reliable Web Applications