Introduction to Machine Learning, Spring 2022
GWU Computer Science
As homework, you will complete and submit the in-class exercises from lecture.
Please copy each line of the grading rubric (including number) into a markdown element in your
jupyter notebook that matches the cell that completes it, so we don't miss anything during grading :-)
GRADING RUBRIC for Homework 7:
1. Correctly pre-processes images into train, validation, and holdout by randomly specifying indicies and feeding these to torch.utils.data.sampler.SubsetRandomSampler | 5 points |
2. Correctly adds applicable data augmentations to your DataLoader | 5 points |
3. Correctly download and instantiate a CNN pre-trained on ImageNet | 5 points |
4. Correctly fine-tune that CNN on your blood cell images using training and validation | 5 points |
5. Report your results on the holdout set, in a few sentences. | 5 points |