We will use 7 emotions namely - We have use 7 emotions namely - 'Angry'😠, 'Disgust'🤢, 'Fear'😱, 'Happy'😇, 'Neutral'😐, 'Sad'☹️, 'Surprise'😲 to train and test(validation) our algorithm using Convolution Neural Networks. You can directly use kaggle kernel notebook, so that you don't need to download the dataset. Also, you can download your code and run it in your local device directly.
Kaggle notebook - https://www.kaggle.com/mayank7900/notebook0a0917a828/edit
- Install anaconda
- Jupyter notebook
- source code -
Train and test our algorithm using Convolution Neural Networks and classify emotions in real-time.
We will use 7 emotions namely - We have used 7 emotions namely - 'Angry'
😠, 'Disgust' 🤢, 'Fear' 😱, 'Happy' 😇, 'Neutral' 😐, 'Sad' ☹️, 'Surprise' 😲to train and test our algorithm using Convolution Neural Networks.
You need a dataset with different emotions :
Given dataset of different expressions on kaggle: