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 6:
| 1. Notebook is able to execute completely the sample code | 5 points |
| 2. Notebook shows evidence of being able to train on the CPU (or GPU) | 5 points |
| 3. Correctly generates a graph of the training and validation loss curves overlaid | 5 points |
| 4. In a paragraph, discussion of training vs validation loss for this dataset | 5 points |