Instructions
- All assignments must be completed on your own. You are welcome to exchange ideas with your peers, but this should be in the form of concepts and discussion, not in the form of writing and code.
- Please provide proper citations/references for any external resources you use in your writing and code.
- Please submit your work to Gradescope.
- Late submissions will be deducted by 1 point per day. No late submission is allowed a week after the due date.
Links to the Jupyter Notebook
The code that I used to preprocess the NSynth dataset can be found here.
- Download the Jupyter notebook here
- Open the Jupyter notebook in Colab here
Computing Resources
- You will want to access a GPU machine via Google Colab or Great Lakes for faster training of deep learning models.
- Check out this 10-min YouTube tutorial to learn how to work with Google Colab. The free version is good enough for the assignments.
- Follow the instructions to learn how to access Great Lakes. You will be provided with ~560 GPU hours for assignments and final project.