Facial Emotion and Landmark Detection
Master the fundamentals of facial emotion and landmark detection using AI. Learn how to analyze expressions, map facial key points, and implement CNN and ResNet models for real-world applications
1. Facial Emotion and Landmark Detection - Introduction
2. Business Context
3. How the Technology Works
4. Use Cases, Benefits & Challenges
5. Step-by-Step Implementation
6. Splitting Gen AI Images
7. Generate Emotion and Landmark by using Mediapipe, Fer, CV
8. Jupyter Notebook - Import Libraries, Facial Landmark - Emotion and Visualization
9. Jupyter Notebook - Image Augmentation
10. Jupyter Notebook - Normalization and Facial Emotion Classification Model (CNN)
11. Jupyter Notebook - Facial Landmark Detection Model (CNN)
12. Jupyter Notebook - ResNet Model
Course Materials
Bonus!
Leveraging AI for sentiment analysis and precise facial feature tracking
Unlock the power of AI with this practical course on Facial Emotion and Landmark Detection. Whether you're a curious beginner or an aspiring AI specialist, this course equips you with the knowledge to:
With hands-on exercises, code walkthroughs, and project-based learning, you’ll be ready to create AI systems that make an impact!
🛠️ Get ready to turn your curiosity into actionable skills and build next-generation AI tools!