Neural Network and Deep Learning

In this unit, some of the most widely used regression, prediction and classification models will be covered. Neural networks will be introduced, and the backpropagation as the primary training algorithm will be demonstrated. Various forms of deep neural networks such as multilayer perceptions, convolutional neural networks, and recurrent neural networks will be examined. The mathematics of stochastic optimisation is used to explain the behaviour and training of these networks. Various programming approaches will be discussed and demonstrated for the training and deployment of neural networks. The application of deep learning technologies will be discussed in areas such as pattern recognition. Students will learn, discuss and evaluate solutions from the perspective of data privacy and professional ethics.