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UCSD ECE176: Introduction to Deep Learning & Applications (Winter 2025)
| Date |
Lecture |
Materials |
Assignments |
| Jan 7 |
Introduction |
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| Jan 9 |
Nearest Neighbor and Linear Classifiers |
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Assignment 1: KNN in Numpy |
| Jan 10 |
Jupyter Notebook Tutorial |
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| Jan 14 |
Linear Classifier and Optimization |
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| Jan 16 |
MLP and Back-Propagation |
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Assignment 2: Linear Classifiers in Numpy |
| Jan 17 |
Assignment 1 Due |
| Jan 21 |
Intro to CNN and Back-Propagation with CNN |
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| Jan 23 |
Different Elements in Training CNNs 1 |
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Assignment 3: Training MLP in Numpy (Toy Dataset) |
| Jan 24 |
Assignment 2 Due |
| Jan 28 |
Different Elements in Training CNNs 2 |
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| Jan 30 |
Tutorial on Pytorch |
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| Jan 31 |
Assignment 3 Due |
| Feb 4 |
Deep Network Architectures |
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| Feb 6 |
Image Segmentation |
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Assignment 4: Training MLP in Numpy (CIFAR10) |
| Feb 7 |
Final Project Proposal Due |
| Feb 11 |
Visualizing Deep Networks |
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| Feb 13 |
Object Detection 1: Box |
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Assignment 5: Pytorch CIFAR100 Classification |
| Feb 14 |
Assignment 4 Due |
| Feb 18 |
Object Detection 2: Mask and Pose |
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| Feb 20 |
Recurrent Neural Networks |
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| Feb 25 |
Temporal and 3D Convolution |
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| Feb 27 |
Self-Attention and Transformer |
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Assignment 6: Pytorch Segmentation |
| Feb 28 |
Assignment 5 Due |
| Mar 4 |
Vision Transformer |
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| Mar 6 |
Generative Adversarial Networks |
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| Mar 11 |
Conditional Generative Adversarial Networks |
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| Mar 13 |
Self-supervised Learning |
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| Mar 14 |
Assignment 6 Due, Final Project Due |
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