COMP338 Lab 08 Image Classification with CNN
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Image Classification with CNN
In this project, we will do image classification using the Fashion MNIST dataset. The lab “ COMP338_Lab_08_Fashion_MNIST_Classification.ipynb” on Canvas shows the example source code for this assignment.
Tasks:
1. (30 marks) Design a deep neural network for image classification.
2. (30 marks) Train and test your network on Fashion MNIST dataset.
3. (40 marks) Write a report to clearly explain your network, the intuition behind your design, and discussion of your results.
Rules:
- You can refer to any papers and reuse any source code. However, you should clearly cite the references in your report.
- Use free Google Colab account (https://colab.research.google.com/) for training. The maximum training time on a free Google Colab account is 12 hours.
Our solution will be evaluated by:
- The design concept or novelty of your network design (30%).
- The accuracy of your trained model, compared with other students (30%).
- The completeness of your report (40%).
2023-11-23