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.
Egile Nagusiak: | Islam, Md. Farhadul, Zabeen, Sarah, Bin Rahman, Fardin, Islam, Md. Azharul, Bin Kibria, Fahmid |
---|---|
Beste egile batzuk: | Rasel, Annajiat Alim |
Formatua: | Thesis |
Hizkuntza: | English |
Argitaratua: |
Brac University
2024
|
Gaiak: | |
Sarrera elektronikoa: | http://hdl.handle.net/10361/22179 |
Antzeko izenburuak
-
Analysis of uncertainty in different neural network structures using Monte Carlo Dropout
nork: Islam, Md. Farhadul, et al.
Argitaratua: (2024) -
Analysing neural network models for detecting panic attacks with uncertainty analysis
nork: Tahmid, Ahnaf, et al.
Argitaratua: (2024) -
Sequential Monte Carlo methods in practice /
Argitaratua: (2001) -
Quantum Monte Carlo methods in condensed matter physics /
Argitaratua: (1998) -
ProteoKnight: phage virion protein classification with CNN and uncertainty quantification
nork: Bhuiyan, Abir Ahammed, et al.
Argitaratua: (2024)