Image Classification Facial Emotion With EfficientNetV2-S Tensorflow

Description

This project is used to fulfill my final submission project in Advanced Machine Learning Course (Indonesian : Belajar Pengembangan Machine Learning) by Dicoding Academy.In this project, I want to create program about Image Classification Facial Emotion With EfficientNetV2-S Tensorflow

Dataset

The dataset used for training and testing was obtained from Facial Emotion

Requirements

• Python
• Jupyter Notebook

Download and Installation:

1. Clone this repository to your local machine by either clicking on clone button or you can do it form git bash or linux terminal using following command.

git clone https://github.com/dunasi4139/Image-Classification-Facial-Emotion-With-EfficientNetV2-S-Tensorflow.git

2. Once you have codes on your local machine now run jupyter on your machine then upload the code and respective dataset to jupyter home.
3. Now you have codes in your jupyter repository or folder now you can see your project on home in jupyter now click on and a new windows with browser will be opened up now click run button and you will see the results.

How to contribute

1. Fork this repository
2. clone that repository

git clone link_of_that_repository

3. Make changes that you want in local repository
4. Add those changes

git add .

5. commmit those changes

git commit -m 'name of commit'

6. push changes to remote repository
7. create pull request