cs601r_w2020:lab1
Differences
This shows you the differences between two versions of the page.
| Both sides previous revision Previous revision Next revision | Previous revision | ||
|
cs601r_w2020:lab1 [2020/01/10 17:23] wingated |
cs601r_w2020:lab1 [2021/01/15 06:26] wingated |
||
|---|---|---|---|
| Line 26: | Line 26: | ||
| Details: | Details: | ||
| - | Your classifier must be a 20 layer Resnet. | + | Your classifier must be a 20 layer Resnet. You may NOT use a built-in or pretrained resnet (ie, from torchhub), because you will need to be able to modify it. However, you are encouraged to use other built-in pytorch blocks, such as batchnorm blocks. |
| - | The dataset is the CIFAR-10 dataset. You may use the torchvision.datasets interface to simplify the loading and management of the dataset. | + | The dataset is the CIFAR-10 dataset. You may use the torchvision.datasets interface to simplify the loading and management of the dataset. While not required for this lab, make sure that you're prepared to implement data augmentation. |
| You will probably want to use Google colab to host your notebook. | You will probably want to use Google colab to host your notebook. | ||
| Line 34: | Line 34: | ||
| 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. | ||
| - | MAJOR HINT: we will be working with this classifier in future labs by adjusting its hyper parameters. In particular, you should make it easy to: | + | MAJOR CONSIDERATION: we will be working with this classifier in future labs by adjusting its hyper parameters. In particular, you should make it easy to: |
| * Change the activation function | * Change the activation function | ||
| * Change whether or not you use BatchNorm | * Change whether or not you use BatchNorm | ||
cs601r_w2020/lab1.txt ยท Last modified: 2021/06/30 23:42 (external edit)
Page Tools
Except where otherwise noted, content on this wiki is licensed under the following license: CC Attribution-Share Alike 4.0 International
