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Lec 21: Reinforcement Learning
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EECS498
EECS498
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
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Lec 21: Reinforcement Learning
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