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.
Päätekijät: | Shahir, Rafiad Sadat, Humayun, Zayed, Tamim, Mashrufa Akter, Saha, Shouri |
---|---|
Muut tekijät: | Alam, Golam Rabiul |
Aineistotyyppi: | Opinnäyte |
Kieli: | English |
Julkaistu: |
Brac University
2024
|
Aiheet: | |
Linkit: | http://hdl.handle.net/10361/22835 |
Samankaltaisia teoksia
-
An in depth analysis of neural network with application in finance
Tekijä: Tasnim, Noshin, et al.
Julkaistu: (2019) -
Strengths and weaknesses of participatory methods for rapid definition of problems and potentials to promote socially just urban intervention
Tekijä: Jabeen, Huraera
Julkaistu: (2010) -
Rapid detection of viable Vibrio Cholerae by Bacteriophage
Tekijä: Rashid, Nafisa, et al.
Julkaistu: (2023) -
Semantic text extraction from CAPTCHA using Neural Networking
Tekijä: Chowdhury, Iftekhar Kabir, et al.
Julkaistu: (2022) -
Deep neural network models for COVID-19 diagnosis from CT-Scan, explainability and analysis using trained models
Tekijä: Islam, Tahsin, et al.
Julkaistu: (2021)