https://github.com/deutranium/explainability-in-cnns

Learning about feature maps for explainability in CNNs as a part of Computer Vision, Spring'23
https://github.com/deutranium/explainability-in-cnns

Last synced: 6 months ago
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Learning about feature maps for explainability in CNNs as a part of Computer Vision, Spring'23

• Host: GitHub
• URL: https://github.com/deutranium/explainability-in-cnns
• Owner: deutranium
• Created: 2024-02-05T07:13:56.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-02-05T07:15:40.000Z (over 1 year ago)
• Last Synced: 2025-02-09T18:49:23.350Z (8 months ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 1.24 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
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# Assignment-03

The goal of the assignment is to familiarize you to CNN.

Please raise doubts on the appropriate assignment thread on Moodle.

# Instructions

-   Follow the directory structure as shown below:

    ```

    ├── src

          ├── Assignment03.ipynb

    ├── Assign03.pdf

    └── README.md

    ```

-   `src` will contain the Jupyter notebook(s) used for the assignment.

-   Follow this directory structure for all following assignments in this course.

-   **Make sure you run your Jupyter notebook before committing, to save all outputs.**