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.

Detaylı Bibliyografya
Asıl Yazarlar: Sarmi, Kaniz Fatima, Rahman, Shaikh Mahmudur, Sultana, Nusrat Jahan, Anzoom Shanto, Khandaker MD. Asef
Diğer Yazarlar: Parvez, Dr. Mohammad Zavid
Materyal Türü: Tez
Dil:en_US
Baskı/Yayın Bilgisi: Brac University 2022
Konular:
Electroencephalogram (EEG)
Major Depressive Disorder (MDD)
Brain Signal Analysis
Transfer Learning Models
VGG16
ResNet152
Xception
MobileNetV2
Machine Learning
Electroencephalography
Neural networks (Computer science)
Online Erişim:http://hdl.handle.net/10361/17576

Internet

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

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