Lecture 25 - Deep Neural Networks Continued

Objectives

• Derive a loss function for binary classification.

• Understand how regularization parameters help us avoid overfitting.

• Understand the Bayesian interpretation of regularization parameters.

• Understand the mathematics of convolutional layers.