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.

Bibliografske podrobnosti
Main Authors:	Sarmi, Kaniz Fatima, Rahman, Shaikh Mahmudur, Sultana, Nusrat Jahan, Anzoom Shanto, Khandaker MD. Asef
Drugi avtorji:	Parvez, Dr. Mohammad Zavid
Format:	Thesis
Jezik:	en_US
Izdano:	Brac University 2022
Teme:	Electroencephalogram (EEG) Major Depressive Disorder (MDD) Brain Signal Analysis Transfer Learning Models VGG16 ResNet152 Xception MobileNetV2 Machine Learning Electroencephalography Neural networks (Computer science)
Online dostop:	http://hdl.handle.net/10361/17576

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