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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Bibliographic Details
Main Author: Wong, Elvis Kar Hou
Format: Final Year Project
Language:English
Published: IRC 2020
Subjects:
Online Access:http://utpedia.utp.edu.my/21815/1/23322_Elvis%20Wong%20Kar%20Hou.pdf
http://utpedia.utp.edu.my/21815/
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Summary: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.