Machine Learning, Deep Learning, Mathematics, Data Science, Neural Networks.
keep a loss function which can penalize a model effectively while it is training on a dataset. If the loss is very high, this huge value will propagate through the network while it’s training and the weights will be changed a little more than usual. If it’s small then the weights won’t change that