Deep learning algorithms and applications

Deep learning architecture algorithms have been extensively developed and applied to various applications. The techniques have successfully improved the performance of difficult computer tasks such as computer vision, natural language processing, and speech recognition. This project aims to apply on...

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Main Author: Santoso, Yosua Nathanael
Other Authors: Tan Yap Peng
Format: Final Year Project
Language:English
Published: 2018
Subjects:
Online Access:http://hdl.handle.net/10356/75195
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-751952023-07-07T16:06:20Z Deep learning algorithms and applications Santoso, Yosua Nathanael Tan Yap Peng School of Electrical and Electronic Engineering DRNTU::Engineering Deep learning architecture algorithms have been extensively developed and applied to various applications. The techniques have successfully improved the performance of difficult computer tasks such as computer vision, natural language processing, and speech recognition. This project aims to apply one of the well-known deep learning algorithms, Convolutional Neural Network to detect student engagement which is believed to be an important factor for learning outcome. The input data which is in the form of frontal videos of students watching online recording were collected and pre-processed before being fed into the seven layers of CNN. The trained model reached a considered decent accuracy result. Some applications utilizing the trained model such as real-time engagement detection and graphical representation of student engagement are also introduced in this project. Bachelor of Engineering 2018-05-30T02:26:15Z 2018-05-30T02:26:15Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/75195 en Nanyang Technological University 61 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering
spellingShingle DRNTU::Engineering
Santoso, Yosua Nathanael
Deep learning algorithms and applications
description Deep learning architecture algorithms have been extensively developed and applied to various applications. The techniques have successfully improved the performance of difficult computer tasks such as computer vision, natural language processing, and speech recognition. This project aims to apply one of the well-known deep learning algorithms, Convolutional Neural Network to detect student engagement which is believed to be an important factor for learning outcome. The input data which is in the form of frontal videos of students watching online recording were collected and pre-processed before being fed into the seven layers of CNN. The trained model reached a considered decent accuracy result. Some applications utilizing the trained model such as real-time engagement detection and graphical representation of student engagement are also introduced in this project.
author2 Tan Yap Peng
author_facet Tan Yap Peng
Santoso, Yosua Nathanael
format Final Year Project
author Santoso, Yosua Nathanael
author_sort Santoso, Yosua Nathanael
title Deep learning algorithms and applications
title_short Deep learning algorithms and applications
title_full Deep learning algorithms and applications
title_fullStr Deep learning algorithms and applications
title_full_unstemmed Deep learning algorithms and applications
title_sort deep learning algorithms and applications
publishDate 2018
url http://hdl.handle.net/10356/75195
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