Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

This chapter contains my notes from the second course of the Deep Learning Specialization: Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization.

This chapter is broken down into:

1. Practical Aspects of Deep Learning

2. Optimization Algorithms

3. Hyperparameter Tuning, Batch Normalization and Programming Frameworks