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Preface
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Lecture 1: Course Introduction
Lecture 2: Image Classification
Lecture 3: Linear Classifiers
Lecture 4: Regularization Optimization
Lecture 5: Neural Networks
Lecture 6: Backpropagation
Lecture 7: Convolutional Networks
Lecture 8: CNN Architectures I
Lecture 9: Training Neural Networks I
Lecture 10: Training Neural Networks II
Lecture 11: CNN Architectures II
Lecture 12: Deep Learning Software
Lecture 13: Object Detection
Lecture 14: Object Detectors
Lecture 15: Image Segmentation
Lecture 16: Recurrent Networks
Lecture 17: Attention
Lecture 18: Vision Transformers
Lecture 19: Generative Models I
Lecture 20: Generative Models II
Lecture 21: Visualizing Models Generating Images
Lecture 22: Self-Supervised Learning
Lecture 23: 3D vision
Lecture 24: Videos

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