This subject in a continuation from MA3405/MA5405. In this subject, students will learn the mechanics of modern neural networks, essential skill in cloud comping and deploy the model onto cloud platform. The concepts of regularisation, pooling, optimisation momentum and convolution are introduced and applied in the field of computer vision neural networks. In this subject, Amazon is used to apply machine learning optimisation to machine learning tasks. This methodology of using machine learning for optimisation greatly enhances the outcomes of model development and removes some of the intuition needed for model development. At the conclusion of the subject, students will provide a detailed computer vision project plan using industry standard planning method.

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[Pre-requisite] MA3405 OR MA5405 AND CP1404 OR ADMISSION TO BSCHONSEMB 115809

[Pre-requisite] MA3405 OR MA5405 AND CP1404 OR ADMISSION TO BSCHONSEMB 115809 Offerings: All

MA3832 - Neural Network and Deep Learning

Neural Network and Deep Learning

Demonstrate and apply advanced theoretical and technical knowledge of neural network to an industry or research problem

Programmatically interact with AWS using Python Jupyter Notebooks

Develop and deploy machine learning models on AWS

Develop multi-layer perceptron and convolution neural networks