A deep learning approach to depression detection based on Convolutional Neural Networks and Transfer Learning

A deep learning approach to depression detection based on Convolutional Neural Networks and Transfer Learning

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

Dettagli Bibliografici
Autori principali:	Sarmi, Kaniz Fatima, Rahman, Shaikh Mahmudur, Sultana, Nusrat Jahan, Anzoom Shanto, Khandaker MD. Asef
Altri autori:	Parvez, Dr. Mohammad Zavid
Natura:	Tesi
Lingua:	en_US
Pubblicazione:	Brac University 2022
Soggetti:	Electroencephalogram (EEG) Major Depressive Disorder (MDD) Brain Signal Analysis Transfer Learning Models VGG16 ResNet152 Xception MobileNetV2 Machine Learning Electroencephalography Neural networks (Computer science)
Accesso online:	http://hdl.handle.net/10361/17576

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