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Activation Map Comparison between SVM and CNN, a group project for CSCI-GA 2566 Foundations of Machine Learning

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Facial Expression Recognition

This is a repo for CSCI-GA 2566 Foundations of Machine Learning course project, Activation Map Comparison between SVM and CNN.

Deep learning has derived several state-of-the-art methods in computer vision tasks in recent years. This project’s purpose is to re-introduce statistical learning methods, including SVM, to a classic vision task. The selected task is to recognize 7 emotions from facial expressions of 48 × 48 pixel images and finally evaluated by accuracy.

Reference Page for Kaggle: https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge

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Activation Map Comparison between SVM and CNN, a group project for CSCI-GA 2566 Foundations of Machine Learning

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