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FIT5215 · Monash University

Deep learning

Credit points
6
Level
5
Workload
≈ 12 h / week
Faculty
Information Technology

What it covers

Modern machine learning provides core underlying theory and techniques to data science and artificial intelligence. This unit is for you to develop practical knowledge of modern machine learning and deep learning and how they can be used in real-world settings such as image recognition or text clustering via neural embeddings. Learning activities will focus on designing machine learning systems, a broad landscape of supervised and unsupervised learning methods with a focus on modern deep learning knowledge for data analytics including deep neural networks, representation learning and embedding methods, and deep models used for time-series data which are rapidly used in science and industry.

Assessment

TaskTypeWeight
Scheduled final assessment (2 hours and 10 minutes)Examination40%
Assessment 1bQuiz / Test20%
Assessment 1aArtefact20%
Assessment 2Artefact20%
Assignment 2Artefact20%
In class test 1Quiz / Test10%
In class test 2Quiz / Test10%
Scheduled final assessment (2 hours and 10 minutes)Examination40%
Assignment 1Artefact20%

When and where

Teaching periodCampusMode
First semesterSuzhou (SEU)On-campus
Second semesterMalaysiaOn-campus
ClaytonFlexible