cs601r_w2020:lab1
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| For your loss curve, any reasonable visualization is acceptable. | For your loss curve, any reasonable visualization is acceptable. | ||
| - | For your confusion matrix, you should display a 200x200 image, where each pixel i,j represents the number of times an image of class i was classified as class j. | + | For your confusion matrix, you may use any reasonable visualization or software package. |
| - | You will not be graded on any final accuracies. I think this is a pretty hard dataset, so I would not expect much better performance than 40% accuracy. | + | You will not be graded on any final accuracies. |
| You may use any code on the internet to help you, but all submitted code must be your own work. | You may use any code on the internet to help you, but all submitted code must be your own work. | ||
cs601r_w2020/lab1.1610382981.txt.gz ยท Last modified: 2021/06/30 23:40 (external edit)
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