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