Unit details
Prerequisites
NIT5150 - Advanced Object Oriented Programming
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Learning Outcomes
1. | Critically review the performance and applications of neural network and deep learning techniques; | ||
2. | Implement a systems approach to design and evaluate neural network architecture; | ||
3. | Interpret mathematical equations from linear algebra, calculus, statistics, and probability theory in terms of neural network architecture and deep learning methods; | ||
4. | Investigate and apply knowledge discovery processes and associated models to innovate deep learning applications to support and provide business solutions; and | ||
5. | Extrapolate knowledge and skills to design, develop, and evaluate a variety of deep learning tasks: modelling, clustering, dimensionality reduction, regression and classification. |
Assessment
Assessment type | Description | Grade |
---|---|---|
Assignment | Assignment | 20% |
Project | Project | 40% |
Test | Open book test (Concepts, modelling, training methods, programming and scenario analysis) | 40% |
Where to next?
As part of a course
This unit is studied as part of the following courses. Refer to the course page for information on how to apply for the course.
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