FIT5215 Deep learning (Monash University): rated 2.4/5 overall across 12 reviews collected on Monash Wall.
FIT5215 is a Monash University course taught by the Faculty of Information Technology in Information Technology. This page brings together its handbook details and what Monash students say about it.
Review data updated 2026-10-24.
Chinese title: 深度学习
Credit points: 6
Subject area: Information Technology
Faculty: Faculty of Information Technology
Level: Graduate Level 5
Handbook year: 2026
FIT5215 has 12 scored reviews: overall 2.4/5 · usefulness 3.0 (all out of 5; higher difficulty means harder).
Sources: 1 StudentVIP review (average 3.0 stars); 11 Reddit comments that an AI model judged to be reviewing this course (average would-recommend 2.3/5).
On Reddit: "I’m taking FIT5215 and it is really terrible. I really hear you. It’s clear that the lecturers and tutors know what they’re talking about, but the language and accent barrier makes it really difficult to understand what they’re saying. The YouTube videos that they’ve linked are …"
On Reddit: "I can only talk about FIT5215 and FIT5201, have yet to do FIT5230. In Deep learning they taught us to train, create and experiment with neural networks, CNN, RNN, transformers and different ways to optimize them. Machine learning taught us about the foundation, things like super…"
The course panel on Monash Wall shows every review and discussion in full.
Q: Is FIT5215 worth taking?
A: Averaged over 12 reviews: usefulness 3.0/5, overall 2.4/5.
Q: Which faculty teaches FIT5215, and when is it offered?
A: FIT5215 is taught by the Faculty of Information Technology. Check the official handbook for the current year.
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