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| Name | Last modified | Size | Description |
|---|---|---|---|---|
| Parent Directory | - | ||
| lecture1_slide.pdf | 2019-04-03 17:12 | 21M | |
| gaussian_processes.pdf | 2019-06-07 09:55 | 286K | |
| cs229-prob-slide.pdf | 2019-04-10 17:43 | 1.0M | |
| cs229-notes14.pdf | 2019-05-30 17:54 | 198K | |
| cs229-notes12.pdf | 2019-05-22 10:17 | 172K | |
| cs229-notes11.pdf | 2019-05-20 11:02 | 80K | |
| cs229-notes10.pdf | 2019-05-20 11:02 | 73K | |
| cs229-notes8.pdf | 2019-05-13 16:46 | 134K | |
| cs229-notes8-2.pdf | 2019-05-13 16:47 | 134K | |
| cs229-notes7b.pdf | 2019-05-07 08:55 | 52K | |
| cs229-notes7a.pdf | 2019-05-07 08:55 | 90K | |
| cs229-notes4.pdf | 2019-04-25 12:17 | 115K | |
| cs229-notes3.pdf | 2019-04-24 22:23 | 300K | |
| cs229-notes2.pdf | 2019-04-17 15:46 | 928K | |
| cs229-notes1.pdf | 2019-04-03 11:40 | 236K | |
| cs229-notes-deep_learning.pdf | 2019-04-24 22:22 | 468K | |
| backprop.pdf | 2019-04-24 22:26 | 148K | |
| addendum_bias_variance.pdf | 2019-05-07 23:22 | 145K | |
| Python_for_CS229.pdf | 2019-04-16 13:40 | 1.5M | |
| Perceptron.ipynb | 2019-04-09 14:09 | 4.9K | |
| MaxEnt.pdf | 2019-04-11 09:28 | 235K | |
| MT_review.pdf | 2019-05-10 21:29 | 131K | |
| ML_Advice_Lecture.pdf | 2019-05-06 21:46 | 10M | |
| Imitation-Learning.pptx | 2019-06-04 21:04 | 37M | |
| Imitation-Learning.pdf | 2019-06-04 14:04 | 4.3M | |
| Gradient_Descent_Viz.pdf | 2019-04-03 11:42 | 1.3M | |
| Gradient_Descent_Viz.ipynb | 2019-04-03 11:42 | 2.8M | |
| Datasets.pdf | 2019-04-03 11:42 | 336K | |
| Datasets.ipynb | 2019-04-03 11:42 | 671K | |
| Convolutional_Neural_Nets.pdf | 2019-05-24 12:33 | 3.0M | |
| Adversarial-Learning.pptx | 2019-06-04 21:05 | 5.0M | |
| Adversarial-Learning.pdf | 2019-06-04 14:04 | 3.2M | |