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start [2023/11/29 10:36] – [December] anderson | start [2024/05/09 12:07] (current) – external edit 127.0.0.1 | ||
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^ Week ^ Topic ^ Lecture Notes ^ Reading | ^ Week ^ Topic ^ Lecture Notes ^ Reading | ||
- | | Week 1:\\ Aug 22, 24 | Course overview. Jupyter notebooks. | + | | Week 1:\\ Aug 20, 22 | Course overview. Jupyter notebooks. |
- | | Week 2:\\ Aug 29, 31 | Jupyter notebook animations. Optimization algorithms. Simple linear and nonlinear models. | + | | Week 2:\\ Aug 27, 29 | Jupyter notebook animations. Optimization algorithms. Simple linear and nonlinear models. |
===== September ===== | ===== September ===== | ||
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^ Week ^ Topic ^ Lecture Notes ^ Reading | ^ Week ^ Topic ^ Lecture Notes ^ Reading | ||
- | | Week 3:\\ Sept 5, 7\\ Chuck' | + | | Week 3:\\ Sept 3, 5\\ Chuck' |
- | | Week 4:\\ Sept 12, 14 | Design of NeuralNetwork class. Optimizers. | + | | Week 4:\\ Sept 10, 12 | Design of NeuralNetwork class. Optimizers. |
- | | Week 5:\\ Sept 19, 21 | Using optimizers. | + | | Week 5:\\ Sept 17, 19 | Using optimizers. |
- | | Week 6:\\ Sept 26, 28 | Early stopping (new version of optimizers). A3. Introduction to classification. | + | | Week 6:\\ Sept 24, 26 | Early stopping (new version of optimizers). A3. Introduction to classification. |
===== October ===== | ===== October ===== | ||
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^ Week ^ Topic ^ Lecture Notes ^ Reading | ^ Week ^ Topic ^ Lecture Notes ^ Reading | ||
- | | Week 7:\\ Oct 3, 5 | Classification with QDA, LDA, and linear logistic regression. | + | | Week 7:\\ Oct 1, 3 | Classification with QDA, LDA, and linear logistic regression. |
- | | Week 8:\\ Oct 10, 12 | Classification with Nonlinear Logistic Regression. Introduction to Reinforcement Learning. | + | | Week 8:\\ Oct 8, 10 | Classification with Nonlinear Logistic Regression. Introduction to Reinforcement Learning. |
- | | Week 9:\\ Oct 17, 19 | Reinforcement learning with Q Function as Neural Network. Learning to play games. | [[https:// | + | | Week 9:\\ Oct 15, 17 | Reinforcement learning with Q Function as Neural Network. Learning to play games. | [[https:// |
- | | Week 10:\\ Oct 24, 26 | Modular framework for reinforcement learning. Convolutional Neural Networks. | + | | Week 10:\\ Oct 22, 24 | Modular framework for reinforcement learning. Convolutional Neural Networks. |
+ | | Week 11:\\ Oct 29, 31 | Ray. Pytorch. | ||
===== November ===== | ===== November ===== | ||
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^ Week ^ Topic ^ Lecture Notes ^ Reading | ^ Week ^ Topic ^ Lecture Notes ^ Reading | ||
- | | Week 11: | + | | Week 12:\\ Nov 5, 7 | Convolutional Neural Networks. Ensembles. |
- | | Week 12:\\ Nov 7, 9 | Convolutional Neural Networks. Ensembles. | + | | Week 13:\\ Nov 12, 14 | Clustering. K-Nearest Neighbors. Jax. | [[https:// |
- | | Week 13:\\ Nov 14, 16 | Clustering. K-Nearest Neighbors. Jax. | [[https:// | + | | Week 14:\\ Nov 19, 21 | Support Vector Machines. |
- | | Fall Break:\\ Nov 20-24 | No classes. | | + | | Fall Break:\\ Nov 25-29 | No classes. | |
- | | Week 14:\\ Nov 28, 30 | Support Vector Machines. | + | |
===== December ===== | ===== December ===== | ||
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^ Week ^ Topic ^ Lecture Notes ^ Reading | ^ Week ^ Topic ^ Lecture Notes ^ Reading | ||
- | | Week 15:\\ Dec 5, 7 | Transformers. | + | | Week 15:\\ Dec 3, 5 | Transformers. |
Models Through the Problem They are Trained to Solve]] | Models Through the Problem They are Trained to Solve]] | ||
- | | Dec 11-15 | + | | Dec 10-12 |
start.txt · Last modified: 2024/05/09 12:07 by 127.0.0.1