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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sg-ntu-dr.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 |
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DRNTU::Engineering::Electrical and electronic engineering Soreefan, Mohammad Jaleel Deep learning and its application |
| 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. |
| author2 |
Tan Yap Peng |
| author_facet |
Tan Yap Peng Soreefan, Mohammad Jaleel |
| format |
Final Year Project |
| author |
Soreefan, Mohammad Jaleel |
| author_sort |
Soreefan, Mohammad Jaleel |
| title |
Deep learning and its application |
| title_short |
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_sort |
deep learning and its application |
| publishDate |
2019 |
| url |
http://hdl.handle.net/10356/78808 |
| _version_ |
1772825238057254912 |