Deep Learning, Regularisation, Optimization Algorithms, Deep Neural Networks, Gradient Descent.
Features like hyperparameter tuning, regularization, batch normalization, etc. come to the fore during this process. This is part 2 of the deeplearning.ai course (deep learning specialization) taught by the great Andrew Ng. We saw the basics of neural networks and how to implement them in part 1,