cs501r_f2016:fp
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| Grading is divided into two parts: 80% of your final project grade is based on the number of hours you spent, and 20% is based on your writeup. | Grading is divided into two parts: 80% of your final project grade is based on the number of hours you spent, and 20% is based on your writeup. | ||
| - | For the number of hours, I will take the total number of hours and divide by 40, then multiply by 100. This will be your percentage. (So, 40 hours == 100%, 30 hours == 75%, etc.) | + | For the number of hours, I will take the total number of hours and divide by 40, then multiply by 100 (and capped at 100%). This will be your percentage. (So, 40 hours == 100%, 30 hours == 75%, etc.) |
| I will evaluate your writeup primarily based on the quality of your writing, although I reserve the right to assign some points based on the quality of your project. | I will evaluate your writeup primarily based on the quality of your writing, although I reserve the right to assign some points based on the quality of your project. | ||
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| * You may not count any more than 15 hours of "prep work". This could include dataset preparation, collection and cleaning; or wrestling with getting a simulator / model working for a deep RL project; etc. | * You may not count any more than 15 hours of "prep work". This could include dataset preparation, collection and cleaning; or wrestling with getting a simulator / model working for a deep RL project; etc. | ||
| * At least 20 hours must involve designing, testing, and iterating deep learning-based models, analyzing results, experimenting, etc. | * At least 20 hours must involve designing, testing, and iterating deep learning-based models, analyzing results, experimenting, etc. | ||
| + | * You don't get extra credit for more than 40 hours. Sorry. :) | ||
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cs501r_f2016/fp.txt ยท Last modified: 2021/06/30 23:42 (external edit)
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