Implemented DCNN (Deep Convolutional Neural Network) approach for classifying the Facial Emotion Recognition (FER) dataset using VGG13 as the base architecture.
This approach was based on a research paper by Microsoft Research for the FER+ dataset.
The results obtained were further enhanced by applying Sobel and Laplacian filter to the images to detect edges and feeding it into the model.
This work was done as a part of my research internship at IISC. Bangalore.
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