A Case-based Approach To... — Applied Deep Learning:

A significant portion is dedicated to diagnosing common training problems such as variance , bias , and overfitting . It also explores hyperparameter tuning using methods like Grid Search and Bayesian Optimization .

and Mathematicians looking for fundamental properties and a "from-scratch" understanding. Applied Deep Learning: A Case-Based Approach to...

Each method is paired with real-world examples to demonstrate theoretical concepts in action. Target Audience A significant portion is dedicated to diagnosing common