What the Human Brain Has That Deep Learning Desperately Needs: A Guide to Zero-Shot Learning

At root, ESZSL is a linear model. Given an input matrix X with shape (number of rows, number of features) and a weight matrix of shape (number of features, number of classes), the linear combination output would be of the shape (number of rows, number of classes). The goal of ESZSL is to find the value of the weight matrix W.