Deep Learning, Regularisation, Optimization Algorithms, Deep Neural Networks, Gradient Descent.
like the first module, this is further divided into three sections: Part I: Hyperparameter tuning Part II: Batch Normalization Part III: Multi-class classification Part I: Hyperparameter tuning Tuning process Hyperparameters. We see this term popularly being bandied about in data science