This program is written using colab notebooks, so you will have access to these materials long after the summer.
Just click the open in Colab link for any given topic to see the materials in an interactive environment.
To save your work - click the Save a copy in Drive button under the File menu, now any changes you make to the notebook (including solutions and notes) are all your own.
| Day | Topic | Notebook | Companion Materials / Slides |
|---|---|---|---|
| 1 | Introduction to Python for Science |  |
[]  ) |
| 2 | Regression and Classification with SGD | |
n/a |
| 3 | Deep Neural Networks | |
) |
| 4 | Convolutional Neural Networks | |
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| 5 | Deep Neural Networks | |
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| 6 | Convolutional Neural Networks | |
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| 7 | Challenge Project! |  |