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.

Bibliografische gegevens
Hoofdauteurs: Mahmud, Shakib Izaz, Shovon, Sartaz Islam, Hasnat, Md. Abrar, Na s, Md. Fahim
Andere auteurs: Alam, Md. Ashraful
Formaat: Thesis
Taal:English
Gepubliceerd in: Brac University 2022
Onderwerpen:
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)
Online toegang:http://hdl.handle.net/10361/17125

Internet

http://hdl.handle.net/10361/17125

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