The aim of the course is to use theory and practice to immerse students in the core concepts of neural network models and the essential practices of real-world application. During the course, students will programmatically build a neural network and discover how to adjust the model’s essential parameters to solve different types of business challenges. They will implement early stopping, build autoencoders for a predictive model, and perform an intelligent automatic search of the model hyperparameter values.