CNN

This project introduces possible solutions that could be implemented to increase the accuracy of Convolutional Neural Network(CNN) with a small sample size.

Environment:

• Windows 10 64-bit
• Python 3.9.7
• Visual Studio code

To start, run main.ipynb using Jupyter notebook or Google Colab.

Table of Content decsribes what each cell is doing.

To make prediction on own image, add your image into the image subfolder, and replace the <img_pth> in cell 27 with your image path.

All the trained model will be saved in the weights subfolder and the output figures will be saved in the output subfolder.