Analysis of uncertainty in different neural network structures using monte carlo dropout
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.
Asıl Yazarlar: | Islam, Md. Farhadul, Zabeen, Sarah, Bin Rahman, Fardin, Islam, Md. Azharul, Bin Kibria, Fahmid |
---|---|
Diğer Yazarlar: | Rasel, Annajiat Alim |
Materyal Türü: | Tez |
Dil: | English |
Baskı/Yayın Bilgisi: |
Brac University
2024
|
Konular: | |
Online Erişim: | http://hdl.handle.net/10361/22179 |
Benzer Materyaller
-
Analysis of uncertainty in different neural network structures using Monte Carlo Dropout
Yazar:: Islam, Md. Farhadul, ve diğerleri
Baskı/Yayın Bilgisi: (2024) -
Analysing neural network models for detecting panic attacks with uncertainty analysis
Yazar:: Tahmid, Ahnaf, ve diğerleri
Baskı/Yayın Bilgisi: (2024) -
Sequential Monte Carlo methods in practice /
Baskı/Yayın Bilgisi: (2001) -
Quantum Monte Carlo methods in condensed matter physics /
Baskı/Yayın Bilgisi: (1998) -
ProteoKnight: phage virion protein classification with CNN and uncertainty quantification
Yazar:: Bhuiyan, Abir Ahammed, ve diğerleri
Baskı/Yayın Bilgisi: (2024)