What is a Loss Function in Deep Learning and why is it critical for training models?

A loss function quantifies the difference between predicted outputs and true values, guiding the optimization process in neural networks.

Loss functions are the objective functions that neural networks aim to minimize during training.

Core role:

Why it matters: Without a loss function, there is no direction for learning.

Types of loss functions: