A color vision approach considering Reflection Co efficient based on Autoencoder techniques using deep neural networks

A color vision approach considering Reflection Co efficient based on Autoencoder techniques using deep neural networks

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2021.

Bibliografiska uppgifter
Huvudupphovsmän:	Mahmud, Shakib Izaz, Shovon, Sartaz Islam, Hasnat, Md. Abrar, Na s, Md. Fahim
Övriga upphovsmän:	Alam, Md. Ashraful
Materialtyp:	Lärdomsprov
Språk:	English
Publicerad:	Brac University 2022
Ämnen:	Auto Encoded Techniques Reflection Co efficient Neural networks Deep learning KNN ANN Random forest Logistic regression Naive bayes Decision tree Digital Illuminance meter Cognitive learning theory (Deep learning) Neural networks (Computer science)
Länkar:	http://hdl.handle.net/10361/17125

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