EECS498

Catalog

• Lec 1: Introduction to Deep Learning for Computer Vision
• Lec 2: Image Classification
• Lec 3: Linear Classifiers
• Lec 4: Optimization
• Lec 5: Neural Networks
• Lec 6: Backpropagation
• Lec 7: Convolutional Networks
• Lec 8: CNN Architectures
• Lec 9: Hardware and Software
• Lec 10: Training Neural Networks I
• Lec 11: Training Neural Networks II
• Lec 12: Recurrent Networks
• Lec 13: Attention
• Lec 14: Visualizing and Understanding
• Lec 15: Object Detection
• Lec 16: Detection and Segmentation
• Lec 17: 3D Vision
• Lec 18: Videos
• Lec 19: Generative Models I
• Lec 20: Generative Models II
• Lec 21: Reinforcement Learning
• Lec 22: Conclustion