| Week | Date | Lecturer | Contents | References |
|---|---|---|---|---|
| 01 | 2021-08-27 | Ahnho | Vector, Matrix and Linear Algebra | |
| 01 | 2021-08-27 | Axect | Convolution, Pooling and VGGNet | Colab, Jupyter |
| 02 | 2021-09-05 | hiilynn | Line & Plane equation, Pseudo inverse | |
| 02 | 2021-09-05 | Axect | Transfer learning with VGGNet | Colab, Jupyter |
| 03 | 2021-09-19 | Axect | Discuss Plan | |
| 04 | 2021-09-26 | Ahnho | Introduce RNN | |
| 05 | 2021-10-03 | Ahnho | Apply RNN to Stock Data | |
| 06 | 2021-10-11 | Ahnho | Apply RNN to Stock Data Part 2 | |
| 06 | 2021-10-11 | Axect | Time-Series Data Tutorial with R | Jupyter1, Jupyter2, Colab |
| 07 | 2021-11-23 | Axect | Fine Tuning with VGGNet | Colab |
| 08 | 2021-12-12 | Ahnho | Transfer learning with VGGNet & MNIST Dataset | Colab |
| 08 | 2021-12-12 | Axect | Implement Perceptron | Rust |
| 09 | 2021-12-19 | Axect | Linear Regression (ESL) | Slides, Note |
| 10 | 2022-01-09 | hiilynn | The Notion applied to ML | Slides |
| 10 | 2022-01-09 | Axect | Chapter 1 of LFD | Slides |
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Deep Learning with PyTorch, Eli Stevens, Luca Antiga, and Thomas Viehmann, Manning Publications Co. (2020)