Scene understanding based on visual and acoustic data
Convolutional Neural Networks (CNN) is the latest development of neural network. It is a deep learning network having multiple layers of convolution operations to extract image or video features and make predictions. With recent years of rapid development, CNN can be seen everywhere with various app...
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| Format: | Final Year Project |
| Language: | English |
| Published: |
2019
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| Online Access: | http://hdl.handle.net/10356/77672 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | Convolutional Neural Networks (CNN) is the latest development of neural network. It is a deep learning network having multiple layers of convolution operations to extract image or video features and make predictions. With recent years of rapid development, CNN can be seen everywhere with various applications in real life. New models of CNNs are being developed continuously. In this report, the basic principles of CNN will be discussed, experiments performed will be described, attempts to improve CNN performance with additional acoustic data will be explained. |
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