CSE/STAT 416, Summer 2019: Homework 7: Deep Learning with PyTorch

Submission

This assignment is due by Tuesday, August 13 at 11:59 pm.

You should submit your finished HW7-Deep-Learning-with-PyTorch.ipynb on Gradescope in the [A7: Upload] Deep Learning with PyTorch assignment. You should also complete the assignment [A7: Concept] Deep Learning by the deadline.

You may submit any part of the assignment assignment as many times as you want before the late cutoff (remember submitting after the due date will cost late days).

Gradescope

For each homework, there will be three assignments listed on Gradescope.

  • The first will be tagged Concept which is where you will answer conceptual questions about that week's material. This counts towards to Concept portion of your final grade.
  • The last section will be tagged Upload which is where you upload your Jupyter Notebook(s) for that week. This is technically not worth any points, but any submission that does not include the completed Jupyter Notebooks will receive a 0 for the programming portion.
There is no [A7: Programming] submission this week, just [A7: Upload] and [A7: Concept]

Option A - Google Colaboratory

If you are planning on using Colab, you can find the notebooks here. You'll have to save them to your Google Drive to edit and save them.

Once you have completed the assignment, you should download the Jupyter Notebook (File > Download .ipynb) and upload that to Gradescope. Remember, you should use the ipynb option!