I like to write about Software, Quarantine and Machine-learning
Jan. 13, 2021
For this year's final project in "Intro to Graduate ML", Daniel Jeong, Anush Devadhasan, and myself were tasked with the facial expression recognition problem (check out our in-depth presentation here: https://youtu.be/mPtWvemach8). The objective is fairly simple: given a 48x48 greyscale image of a face, predict the emotion on that face. The amount of variation between faces and features our brains automatically account for makes this task deceptively difficult for machines. Originally, we used ...