Source
https://www.udemy.com/course/mastering-advanced-deep-learning-pro-certificationtm/
Category
File Size
2.8 GB
Publisher
udemy
Updated
January 26, 2025
Description
- Transfer Learning: Reduce training time by leveraging pre-trained models for specific tasks.
- Pre-trained Models: Use models like VGG and ResNet for feature extraction and fine-tuning.
- Evaluation Metrics: Evaluate models using metrics like accuracy, precision, recall, and F1-score.
- Loss Functions: Learn loss functions like cross-entropy for classification and MSE for regression.
- Computer Vision Basics: Study how AI processes and analyzes visual data for insights.
- Deep Learning in Computer Vision: Implement CNNs for tasks like image segmentation and detection.
- Object Detection: Apply YOLO, SSD, and Faster R-CNN for real-time object detection.
- Facial Recognition: Explore algorithms for face detection, analysis, and recognition systems.
- Motion Analysis and Tracking: Track objects and analyze motion using techniques like optical flow.
- 3D Vision: Reconstruct 3D structures and enable depth perception from 2D images.
- Applications of Computer Vision: Implement vision solutions in healthcare, retail, security, and AR/VR.
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