Weekly Schedule and Class Notes |
- Lecture notes : all notes will be posted in this section.
- It is your responsibility to download, print and bring the notes to the class. Notes will be available 24 hours before each class.
Week |
Date |
Topic |
Reading |
Assignments |
Notices and Dues |
Notes |
1 |
03/05 |
1. Introduction 2. Probability, Statistics and Network 3. Data, Network and measure |
Lecture Note |
Installation of Matlab (Full Toolboxes) |
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1. Bayesian network 2. Forecasting and deep learning |
2 |
03/12 |
4. Measure and data 5. Network Complexity 6. Big data |
Lecture Note |
1. Network conversion 2. Network complexity (node, edge) 3. Rank |
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3 |
03/19 |
7. FONC and KKT condition 8. Dual problem 9. deep neural network and deep learning and Network 10. sigmoid function |
Lecture Note |
Data for deep learning analysis |
Due on Installation of Matlab (Full Toolboxes) |
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4 |
03/26 |
11. back propagation 12. system, process, Hebbian learning |
Lecture Note |
Due on Data for deep learning analysis |
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5 |
04/02 |
13. Matlab Introduction 14. Deep learning using Matlab |
Lecture Note |
Deep learning analysis |
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6 |
04/09 |
15. Bias in Deep Learning 16. Other activation functions 17. Deep learning using Matlab (II) |
Lecture Note |
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7 |
04/16 |
18. Momentum, Adagrad, RMS Prop, Adadelta and Adam 19. stable data and unstable data 20. Trainsient analysis and inhomogenous system |
Lecture Note |
Due on Deep learning analysis |
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8 |
04/23 |
21. Review of Midterm |
Lecture Note |
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9 |
04/30 |
Midterm |
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10 |
05/07 |
22. Engineering Transformation |
Lecture Note |
Laplace Transformation Fourier Transformation |
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11 |
05/14 |
23.Digital Twin & Cyber Physical System 24. Data Transformation - Invariant Transformation (Rotation-based transformation) |
Lecture Note |
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12 |
05/21 |
25. Reinforcement Learning |
Lecture Note |
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13 |
05/28 |
26. Deep Reinforcement Learning |
Lecture Note |
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14 |
06/07 |
27.Deep Learning Implementation without any library and toolboxes |
Lecture Note |
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15 |
06/11 |
28.Deep Reinforement Learning, revisited 29. P-value and R-square |
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16 |
06/18 |
Final Exam |
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