Course description

Facial expression recognition is a technology which uses biometric markers to detect emotions in human faces.  In this project we are going to use Artificial Neural Networks & Convolutional Neural Networks for the implementation. For this we will be dealing with different image data sets. Performing data processing and augmentation as and when required. creating and training a CNN using tensorflow 2.0

What will i learn?

• Learn how to build convolutional neural networks on Colab.
• Got introduced to Open CV and Dlib.
• Created a Model that can detect different expressions in a face given their images.
• Performed data augmentation on our images to make our model more robust.
• Also performed two phase training on our models, where we have frozen a few layers before our model starts overfitting.
• Also evaluated our model on Test set and applied real time prediction.