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.

מידע ביבליוגרפי
Main Authors: Sarmi, Kaniz Fatima, Rahman, Shaikh Mahmudur, Sultana, Nusrat Jahan, Anzoom Shanto, Khandaker MD. Asef
מחברים אחרים: Parvez, Dr. Mohammad Zavid
פורמט: Thesis
שפה:en_US
יצא לאור: Brac University 2022
נושאים:
Electroencephalogram (EEG)
Major Depressive Disorder (MDD)
Brain Signal Analysis
Transfer Learning Models
VGG16
ResNet152
Xception
MobileNetV2
Machine Learning
Electroencephalography
Neural networks (Computer science)
גישה מקוונת:http://hdl.handle.net/10361/17576

אינטרנט

http://hdl.handle.net/10361/17576

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