Deep Learning, Regularization Techniques, Python Programming, Data Science, Technology.
the model towards learning a mapping that looks more like the one in yellow. After computing loss (i.e., the model error) after every forward pass, it adds another value to the loss function — and this value is higher when the model is more complex, while lower when it is less complex. In other