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ELEN90099 · Applied Deep Learning for Engineers | 墨大专区 | WhiteMirror
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ELEN90099Level 1 · 基础12.5 学分Semester 2

Applied Deep Learning for Engineers

University of Melbourne

12.5
学分 Credits
L9
等级 Level
Semester 2
学期 Semester
Parkville
校区 Campus
课程描述 Description

This subject covers a modern deep learning approach to engineering using a project-centric pedagogy. Building upon system optimisation and machine learning fundamentals presented in ELEN90088, the subject will present advanced deep learning architectures to address long-standing engineering challenges such as system complexity, curse of dimensionality, and modelling gap. Subject will specifically focus on engineering problems from multiple application areas including Internet of Things (IoT), smart grid and power systems, robotics, cyber-security, and communication networks. The concepts taught in this subject will lead to a better understanding of how advanced deep learning frameworks can be applied to modern engineering and cyber-physical systems.

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查看 Handbook 原文https://handbook.unimelb.edu.au/subjects/elen90099
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📌 课程信息来源于 Melbourne University Handbook,选课建议为 AI 生成仅供参考。请以官方 Handbook 为准。
数据更新时间:2026 年 2 月 | WhiteMirror 不对信息准确性承担责任