Unit 1: Understanding VLMs
Unit 2: VLM Architectures
Unit 3: VLM Applications
Unit 4: Setting up Your Environment
VLM for Developers: From Novice to Practitioner
Empowering developers to master Vision-Language Models (VLMs) for innovative applications, from foundational concepts to practical implementation.
Unit 1: Understanding the Transformer Architecture
Unit 2: Delving into Attention Mechanisms
Unit 3: Implementation and Optimization
Unit 1: Data Loading and Preprocessing
Unit 2: Image and Text Encoding
Unit 3: Building Basic VLM Models
Unit 1: Image Captioning Evaluation Metrics
Unit 2: Visual Question Answering Evaluation
Unit 3: VLM Evaluation in Practice
Unit 4: Challenges and Mitigation
Unit 1: Understanding Transfer Learning for VLMs
Unit 2: Selecting the Right Pre-trained VLM
Unit 3: Fine-Tuning Techniques
Unit 4: Monitoring, Optimization, and Evaluation
Unit 1: Multimodal Search and Content Generation
Unit 2: VLMs in Specific Applications
Unit 3: VLMs in Robotics
Unit 4: Ethical Considerations and Future Directions