| T Jan 6 |
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| Th Jan 8 |
Neural Net Basics [slides] [video] |
DL Book, 6 - 6.2.1.1, 6.3-6.4 |
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| T Jan 13 |
Basics continued [slides] [video] |
PyTorch Tensors |
Quiz 1 |
| Th Jan 15 |
Backpropagation/Implementation [slides] [video 1] [video 2] |
Backprop for a NN |
PyTorch intro [video], HW 1: MLP |
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| T Jan 20 |
Physics Informed Neural Nets [slides] [video] |
PINNs (skim) |
Quiz 2 |
| Th Jan 22 |
PINN Implementation [slides] [video] |
PINN blog post |
HW 2: Write your own |
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| T Jan 27 |
PINN Wrapup |
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Quiz 3 |
| Th Jan 29 |
Optimization Algorithms |
DL Book Ch 8 |
HW 3: PINN |
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| T Feb 3 |
Neural ODEs |
NODE paper, unsteady continuous adjoint, unsteady discrete adjoint |
Quiz 4 |
| Th Feb 5 |
Neural ODEs, data |
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HW 4: PINN inverse |
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| T Feb 10 |
Autoencoders |
DL book Ch 14 |
Quiz 5 |
| Th Feb 12 |
HW help video, GPU video |
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HW 5: Neural ODE |
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| T Feb 17 |
Monday Instruction |
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Quiz 6 |
| Th Feb 19 |
Neural Koopman |
HW 6: NODE with AE |
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| T Feb 24 |
Regularization |
DL Book Ch 7 |
Quiz 7 |
| Th Feb 26 |
Convolutional NN |
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HW 7: Neural Koopman |
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| T Mar 3 |
Convolutional NN |
DL Book Ch 9 |
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| Th Mar 5 |
Convolutional NN |
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Midterm |
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| T Mar 10 |
Graph Networks |
Math of GNNs |
Quiz 8 |
| Th Mar 12 |
Graph Networks |
PyTorch Geometric |
HW 8: CNN SuperRes w/ physics |
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| T Mar 17 |
Symbolic Regression |
PySR |
Quiz 9 |
| Th Mar 19 |
Kolmogorov-Arnold |
KAN paper |
HW 9: GNN Newtonian Physics |
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| T Mar 24 |
Fourier Neural Operators |
paper |
Quiz 10 |
| Th Mar 26 |
Diffusion Models |
Medium Post |
Project Proposal, midterm rework |
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| T Mar 31 |
Recurrent Neural Nets |
Effectiveness of RNNs |
Quiz 11 |
| Th Apr 2 |
Deep RL |
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| T Apr 7 |
No Class (Transformers videos) |
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Quiz 12 |
| Th Apr 9 |
Final Review |
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| T Apr 14 |
Project Presentations |
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| Th Apr 16 |
Project Presentations |
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