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.

Xehetasun bibliografikoak
Egile Nagusiak:	Sarmi, Kaniz Fatima, Rahman, Shaikh Mahmudur, Sultana, Nusrat Jahan, Anzoom Shanto, Khandaker MD. Asef
Beste egile batzuk:	Parvez, Dr. Mohammad Zavid
Formatua:	Thesis
Hizkuntza:	en_US
Argitaratua:	Brac University 2022
Gaiak:	Electroencephalogram (EEG) Major Depressive Disorder (MDD) Brain Signal Analysis Transfer Learning Models VGG16 ResNet152 Xception MobileNetV2 Machine Learning Electroencephalography Neural networks (Computer science)
Sarrera elektronikoa:	http://hdl.handle.net/10361/17576

Antzeko izenburuak

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