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Start 5 June 2026 02:05
Einde 5 June 2026
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26 minutes
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Overzicht
Discover how to implement object detection and image classification using Ruby, exploring deep learning techniques for digital image processing and AI applications.
Lesprogramma
- Introduction to Digital Image Processing
- Setting Up the Development Environment
- Basics of AI and Machine Learning
- Introduction to Computer Vision
- Working with Image Data in Ruby
- Deep Learning Frameworks and Tools
- Object Detection using Deep Learning
- Image Classification Techniques
- Training and Evaluating AI Models
- Advanced Object Detection Techniques
- Integration and Deployment
- Case Studies and Practical Applications
- Ethical Considerations and Best Practices
- Course Review and Future Directions
Basic concepts and terminology
Overview of image formats and data representation
Installing Ruby and necessary libraries
Introduction to Ruby Image Processing libraries
Overview of AI and its applications
Introduction to machine learning and deep learning concepts
Concepts of computer vision in AI
Applications in object detection and image classification
Loading and preprocessing image data
Performing basic image transformations
Overview of deep learning frameworks (TensorFlow, PyTorch)
Using Ruby bindings for deep learning (e.g., TensorFlow.rb)
Understanding object detection techniques
Implementing simple object detection models in Ruby
Overview of image classification with deep learning
Building image classification models in Ruby
Preparing datasets and training models
Evaluating model performance and accuracy
Using pre-trained models and transfer learning
Implementing advanced algorithms such as YOLO, SSD
Integrating models with Ruby applications
Deploying AI models for real-world applications
Analyzing real-world applications and use cases
Hands-on project: Building a complete object detection or classification system
Understanding ethical implications in AI
Best practices for responsible AI usage
Recap and course highlights
Exploring future trends in AI and computer vision with Ruby
Vakgebieden
Programming