Image processing with ANN

This is a simple example of image processing with ANN. The goal is to classify images of Fruits. The dataset Fruits-360 is used.

also calculate the accuracy of the model.

you can find project description in perisan here

Requirements

project.ipynb - main notebook
BackPropagation.py - BackPropagation class for training the model with feedforward and backpropagation
FeedForward.py - Feedforward class just Train with feedforward method
Vectorization.py - Vectorization class for vectorize BackPropagation method
main.py - main file for run the project same as project.ipynb
ANN_report.pdf - report of the project in Persian

Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
Datasets		Datasets
.gitattributes		.gitattributes
.gitignore		.gitignore
ANN_Project_Persian.pdf		ANN_Project_Persian.pdf
ANN_report.pdf		ANN_report.pdf
BackPropagation.py		BackPropagation.py
FeedForward.py		FeedForward.py
Readme.md		Readme.md
Vectorization.py		Vectorization.py
jupyter python file.py		jupyter python file.py
main.py		main.py
project.ipynb		project.ipynb