Connected hidden neurons (CHNNet): an artificial neural network for rapid convergence
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.
Autors principals: | Shahir, Rafiad Sadat, Humayun, Zayed, Tamim, Mashrufa Akter, Saha, Shouri |
---|---|
Altres autors: | Alam, Golam Rabiul |
Format: | Thesis |
Idioma: | English |
Publicat: |
Brac University
2024
|
Matèries: | |
Accés en línia: | http://hdl.handle.net/10361/22835 |
Ítems similars
-
An in depth analysis of neural network with application in finance
per: Tasnim, Noshin, et al.
Publicat: (2019) -
Strengths and weaknesses of participatory methods for rapid definition of problems and potentials to promote socially just urban intervention
per: Jabeen, Huraera
Publicat: (2010) -
Rapid detection of viable Vibrio Cholerae by Bacteriophage
per: Rashid, Nafisa, et al.
Publicat: (2023) -
Semantic text extraction from CAPTCHA using Neural Networking
per: Chowdhury, Iftekhar Kabir, et al.
Publicat: (2022) -
Deep neural network models for COVID-19 diagnosis from CT-Scan, explainability and analysis using trained models
per: Islam, Tahsin, et al.
Publicat: (2021)