Deep Learning Inspection of Modules in Finisar

Over the past few years, deep learning in machine learning have been proved to outperform various other machine learning techniques. Deep learning is used in various field, most prominently in medical field nowadays. This paper will discuss the use of Convolutional Neural Networks (CNNs) on th...

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主要作者: Wong, Elvis Kar Hou
格式: Final Year Project
語言:English
出版: IRC 2020
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spelling my-utp-utpedia.218152021-09-24T09:56:04Z http://utpedia.utp.edu.my/21815/ Deep Learning Inspection of Modules in Finisar Wong, Elvis Kar Hou Q Science (General) Over the past few years, deep learning in machine learning have been proved to outperform various other machine learning techniques. Deep learning is used in various field, most prominently in medical field nowadays. This paper will discuss the use of Convolutional Neural Networks (CNNs) on the image processing and how it can perform deep learning on object detection, which includes the shape (type) and the recognition of color. This paper will also discuss the result of the developed program and how it integrates with Tensorflow framework. Lastly, this paper will provide recommendations for the best performance and output of the deep learning and how it can generate the best output. IRC 2020-01 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/21815/1/23322_Elvis%20Wong%20Kar%20Hou.pdf Wong, Elvis Kar Hou (2020) Deep Learning Inspection of Modules in Finisar. IRC, Universiti Teknologi PETRONAS. (Submitted)
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
topic Q Science (General)
spellingShingle Q Science (General)
Wong, Elvis Kar Hou
Deep Learning Inspection of Modules in Finisar
description Over the past few years, deep learning in machine learning have been proved to outperform various other machine learning techniques. Deep learning is used in various field, most prominently in medical field nowadays. This paper will discuss the use of Convolutional Neural Networks (CNNs) on the image processing and how it can perform deep learning on object detection, which includes the shape (type) and the recognition of color. This paper will also discuss the result of the developed program and how it integrates with Tensorflow framework. Lastly, this paper will provide recommendations for the best performance and output of the deep learning and how it can generate the best output.
format Final Year Project
author Wong, Elvis Kar Hou
author_facet Wong, Elvis Kar Hou
author_sort Wong, Elvis Kar Hou
title Deep Learning Inspection of Modules in Finisar
title_short Deep Learning Inspection of Modules in Finisar
title_full Deep Learning Inspection of Modules in Finisar
title_fullStr Deep Learning Inspection of Modules in Finisar
title_full_unstemmed Deep Learning Inspection of Modules in Finisar
title_sort deep learning inspection of modules in finisar
publisher IRC
publishDate 2020
url http://utpedia.utp.edu.my/21815/1/23322_Elvis%20Wong%20Kar%20Hou.pdf
http://utpedia.utp.edu.my/21815/
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