/ECE188DeepLearning

Project2 for the ECE188 course Spring 22

Primary LanguageJupyter Notebook

ECE188 Project 2

Project 2 for the ECE188 course Spring 22.

This project has two parts:

  • Training an MNIST network.
  • Producing and exploring adversarial examples in Neural Nets.

The Colab notebooks has all the information required for the project.

Running the Colab

While Task 1 can be run directly, here are instructions for running Task 2 and 3:

  1. Add the images in the images directory to your Google Drive. The images are taken directly from the Imagenet database.
  2. Update the path for your images in Google Drive before running the code

Note: Task 3 may take as long as 5 to 10 minutes to run. This is due to the intensive computations involved in the adversarial attack.

Submission:

  • All your code, tables and text need to be contained in the jupyter notebooks. Hence, your final submission would contain 2 notebooks, one for each part.

  • Also upload the two notebooks to a public github repo and attack the link of the github repo at the top of one of your notebooks.

DUE DATA : 10th June 2022