Key learning elements:

» Run experiments in Google Colab and access files on Google Drive

» Build and evaluate a model using Tensorflow Eager mode

» Build a Convolutional Neural Network (CNN) to recognize 7 facial expressions

For this exercise we are going to build a CNN for facial expression recognition on fer2013 dataset, available on Kaggle. fer2013 is a publicly accessible, and it contains 35,887 grayscale, 48 x 48 sized face images with 7 emotional expressions: angry, disgust, fear, happy, sad, surprise, and neutral. It was originally published on International Conference on Machine Learning (ICML) 2013, Challenges in Representation Learning: A report on three machine learning contests, Ian Goodfellow et al., 2013