Machine Learning, Deep Learning, Pytorch, Python, Artificial Neural Network.
mean? The squaring of the difference of prediction and actual value means that we’re amplifying large losses. If the classifier is off by 200, the error is 40000 and if the classifier is off by 0.1, the error is 0.01. This penalizes the model when it makes large mistakes and incentivizes small