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https://hdl.handle.net/10356/78808
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Soreefan, Mohammad Jaleel | |
dc.date.accessioned | 2019-06-28T06:49:46Z | |
dc.date.available | 2019-06-28T06:49:46Z | |
dc.date.issued | 2019 | |
dc.identifier.uri | http://hdl.handle.net/10356/78808 | |
dc.description.abstract | The applications of machine learning are numerous and are growing continuously. In this project, deep learning, a type of machine learning, will be used to construct a couple of these applications. These include crowd counting and path tracking from a live video feed. A convolution neural network will be trained and tested on a dataset such that it can detect people from the video feed. The network will then be applied to real-life cases such that the above-mentioned functions can be performed accurately. | en_US |
dc.format.extent | 44 p. | en_US |
dc.language.iso | en | en_US |
dc.rights | Nanyang Technological University | |
dc.subject | DRNTU::Engineering::Electrical and electronic engineering | en_US |
dc.title | Deep learning and its application | en_US |
dc.type | Final Year Project (FYP) | en_US |
dc.contributor.supervisor | Tan Yap Peng | en_US |
dc.contributor.school | School of Electrical and Electronic Engineering | en_US |
dc.description.degree | Bachelor of Engineering (Electrical and Electronic Engineering) | en_US |
item.fulltext | With Fulltext | - |
item.grantfulltext | restricted | - |
Appears in Collections: | EEE Student Reports (FYP/IA/PA/PI) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
fyp final report.pdf Restricted Access | Main article | 2.86 MB | Adobe PDF | View/Open |
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