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start [2023/09/24 13:54] – [September] anderson | start [2023/12/07 09:17] (current) – external edit 127.0.0.1 | ||
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| Week 3:\\ Sept 5, 7\\ Chuck' | | Week 3:\\ Sept 5, 7\\ Chuck' | ||
| Week 4:\\ Sept 12, 14 | Design of NeuralNetwork class. Optimizers. | | Week 4:\\ Sept 12, 14 | Design of NeuralNetwork class. Optimizers. | ||
- | | Week 5:\\ Sept 19, 21 | Using optimizers. | + | | Week 5:\\ Sept 19, 21 | Using optimizers. |
- | | Week 6:\\ Sept 26, 28\\ No on-campus lectures. Thursday lecture live through this [[https:// | + | | Week 6:\\ Sept 26, 28 | Early stopping (new version of optimizers). A3. Introduction to classification. |
===== October ===== | ===== October ===== | ||
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|< 100% 18% 20% 22% 20% 20% >| | |< 100% 18% 20% 22% 20% 20% >| | ||
^ Week ^ Topic ^ Lecture Notes ^ Reading | ^ Week ^ Topic ^ Lecture Notes ^ Reading | ||
- | | Week 7:\\ Oct 3, 5 | Classification. Convolutional Networks. | | | [[https:// | + | | Week 7:\\ Oct 3, 5 | Classification |
- | | Week 8:\\ Oct 10, 12 | More convolutional neural networks. | | | | + | | Week 8:\\ Oct 10, 12 | Classification with Nonlinear Logistic Regression. Introduction to Reinforcement Learning. | [[https:// |
- | | Week 9:\\ Oct 17, 19 | Introduction to reinforcement leanring. Learning to play games. | | | | + | | Week 9:\\ Oct 17, 19 | Reinforcement learning with Q Function as Neural Network. Learning to play games. | [[https:// |
- | | Week 10:\\ Oct 24, 26 | Reinforcement | + | | Week 10:\\ Oct 24, 26 | Modular framework for reinforcement |
===== November ===== | ===== November ===== | ||
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|< 100% 18% 20% 22% 20% 20% >| | |< 100% 18% 20% 22% 20% 20% >| | ||
^ Week ^ Topic ^ Lecture Notes ^ Reading | ^ Week ^ Topic ^ Lecture Notes ^ Reading | ||
- | | Week 11:\\ Oct 31 Nov 2 | Recurrent neural networks. | | | | + | | Week 11:\\ Oct 31 Nov 2 | Ray. Pytorch. |
- | | Week 12:\\ Nov 7, 9 | Unsupervised learning. Dimensionality reduction. Autoencorders. | | | | + | | Week 12:\\ Nov 7, 9 | Convolutional Neural Networks. Ensembles. | [[https:// |
- | | Week 13:\\ Nov 14, 16 | Clustering. | + | | Week 13:\\ Nov 14, 16 | Clustering. K-Nearest Neighbors. Jax. | [[https:// |
- | | Fall Break:\\ Nov 20-24 | No classes | + | | Fall Break:\\ Nov 20-24 | No classes. | |
- | | Week 14:\\ Nov 28, 30 | Ensemble methods. Mixture-of-experts. Transformers. | | | | + | | Week 14:\\ Nov 28, 30 | Support Vector Machines. Web Apps with Streamlit. Word Embeddings. | [[https:// |
===== December ===== | ===== December ===== | ||
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|< 100% 18% 20% 22% 20% 20% >| | |< 100% 18% 20% 22% 20% 20% >| | ||
^ Week ^ Topic ^ Lecture Notes ^ Reading | ^ Week ^ Topic ^ Lecture Notes ^ Reading | ||
- | | Week 15:\\ Dec 5, 7 | Other topics in current research. | | [[https:// | + | | Week 15:\\ Dec 5, 7 | Transformers. | [[https:// |
- | | Dec 11-15 | Final Exam Week | No Exams in this course | + | Models Through the Problem They are Trained to Solve]] |
+ | | Dec 11-15 | Final Exam Week | No Exams in this course | ||
start.1695585295.txt.gz · Last modified: 2023/09/24 13:54 by anderson