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.

书目详细资料
Main Authors:	Sarmi, Kaniz Fatima, Rahman, Shaikh Mahmudur, Sultana, Nusrat Jahan, Anzoom Shanto, Khandaker MD. Asef
其他作者:	Parvez, Dr. Mohammad Zavid
格式:	Thesis
语言:	en_US
出版:	Brac University 2022
主题:	Electroencephalogram (EEG) Major Depressive Disorder (MDD) Brain Signal Analysis Transfer Learning Models VGG16 ResNet152 Xception MobileNetV2 Machine Learning Electroencephalography Neural networks (Computer science)
在线阅读:	http://hdl.handle.net/10361/17576

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