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cs501r_f2016:lab6v2 [2017/10/10 16:47] wingated |
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* 30% Proper design, creation and debugging of a dense prediction network | * 30% Proper design, creation and debugging of a dense prediction network | ||
* 30% Proper design of a loss function and test set accuracy measure | * 30% Proper design of a loss function and test set accuracy measure | ||
- | * 20% Proper experimentation with regularization | + | * 20% Proper experimentation with two different regularizers |
* 20% Tidy visualization of the output of your dense predictor | * 20% Tidy visualization of the output of your dense predictor | ||
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overfitting is a real possibility. | overfitting is a real possibility. | ||
- | [[http://liftothers.org/cancer_data.tar.gz|The data can be downloaded here.]] | + | [[http://liftothers.org/cancer_data.tar.gz|The data can be downloaded here.]] //Please note that this dataset is not publicly available, and should not be redistributed.// |
As in the previous lab, you are welcome to sub-sample the data if your computer is not powerful enough to fit it all in RAM. However, if you do, please clearly report how much data you used in your final report. | As in the previous lab, you are welcome to sub-sample the data if your computer is not powerful enough to fit it all in RAM. However, if you do, please clearly report how much data you used in your final report. |