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.

書誌詳細
主要な著者:	Sarmi, Kaniz Fatima, Rahman, Shaikh Mahmudur, Sultana, Nusrat Jahan, Anzoom Shanto, Khandaker MD. Asef
その他の著者:	Parvez, Dr. Mohammad Zavid
フォーマット:	学位論文
言語:	en_US
出版事項:	Brac University 2022
主題:	Electroencephalogram (EEG) Major Depressive Disorder (MDD) Brain Signal Analysis Transfer Learning Models VGG16 ResNet152 Xception MobileNetV2 Machine Learning Electroencephalography Neural networks (Computer science)
オンライン･アクセス:	http://hdl.handle.net/10361/17576

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