| M Jan 6 |
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| W Jan 8 |
Neural Net Basics |
DL Book, 6 - 6.2.1.1, 6.3-6.4 |
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| M Jan 13 |
Basics con’t, PyTorch video |
PyTorch Tensors |
Quiz 1 |
| W Jan 15 |
Backpropagation |
Backprop for a NN |
HW 1 (Th): MLP |
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| M Jan 20 |
MLK Jr Day |
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Quiz 2 (Tue) |
| W Jan 22 |
Physics Informed Neural Nets |
PINNs (skim) |
HW 2 (Th): Write your own |
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| M Jan 27 |
PINN Implementation |
PINN blog post |
Quiz 3 |
| W Jan 29 |
PINN Wrapup |
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HW 3 (Th): PINN |
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| M Feb 3 |
Optimization Algorithms |
DL Book Ch 8 |
Quiz 4 |
| W Feb 5 |
Neural ODEs |
NODE paper, unsteady continuous adjoint, unsteady discrete adjoint |
HW 4 (Th): PINN inverse |
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| M Feb 10 |
Neural ODEs, data |
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Quiz 5 |
| W Feb 12 |
Autoencoders |
DL book Ch 14 |
HW 5 (Th): Neural ODE |
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| T Feb 18 |
HW help video, GPU video |
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Quiz 6 |
| W Feb 19 |
Neural Koopman |
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HW 6 (Th): NODE with AE |
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| M Feb 24 |
Regularization |
DL Book Ch 7 |
Quiz 7 |
| W Feb 26 |
Convolutional NN |
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HW 7 (Th): Neural Koopman |
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| M Mar 3 |
Convolutional NN |
DL Book Ch 9 |
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| W Mar 5 |
Convolutional NN |
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Midterm (Th) |
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| M Mar 10 |
Graph Networks |
Math of GNNs |
Quiz 8 |
| W Mar 12 |
Graph Networks |
PyTorch Geometric |
HW 8 (Th): CNN SuperRes w/ physics |
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| M Mar 17 |
Symbolic Regression |
PySR |
Quiz 9 |
| W Mar 19 |
Kolmogorov-Arnold |
KAN paper |
HW 9 (Th): GNN Newtonian Physics |
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| M Mar 24 |
Fourier Neural Operators |
paper |
Quiz 10 |
| W Mar 26 |
Diffusion Models |
Medium Post |
Project Proposal, midterm rework |
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| M Mar 31 |
Recurrent Neural Nets |
Effectiveness of RNNs |
Quiz 11 |
| W Apr 2 |
Deep RL |
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| M Apr 7 |
No Class (Transformers videos) |
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Quiz 12 |
| W Apr 9 |
Final Review |
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| M Apr 14 |
Project Presentations |
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| W Apr 16 |
Project Presentations |
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