Deep learning and its application
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 wi...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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2019
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| Online Access: | http://hdl.handle.net/10356/78808 |
| _version_ | 1826110137557843968 |
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| author | Soreefan, Mohammad Jaleel |
| author2 | Tan Yap Peng |
| author_facet | Tan Yap Peng Soreefan, Mohammad Jaleel |
| author_sort | Soreefan, Mohammad Jaleel |
| collection | NTU |
| description | 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. |
| first_indexed | 2024-10-01T02:29:33Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/78808 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T02:29:33Z |
| publishDate | 2019 |
| record_format | dspace |
| spelling | ntu-10356/788082023-07-07T16:15:47Z Deep learning and its application Soreefan, Mohammad Jaleel Tan Yap Peng School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering 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. Bachelor of Engineering (Electrical and Electronic Engineering) 2019-06-28T06:49:46Z 2019-06-28T06:49:46Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/78808 en Nanyang Technological University 44 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering Soreefan, Mohammad Jaleel Deep learning and its application |
| title | Deep learning and its application |
| title_full | Deep learning and its application |
| title_fullStr | Deep learning and its application |
| title_full_unstemmed | Deep learning and its application |
| title_short | Deep learning and its application |
| title_sort | deep learning and its application |
| topic | DRNTU::Engineering::Electrical and electronic engineering |
| url | http://hdl.handle.net/10356/78808 |
| work_keys_str_mv | AT soreefanmohammadjaleel deeplearninganditsapplication |