A Comparative study on Bengali handwritten character recognition and prediction using CNN
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.
Główni autorzy: | Abrar, Muntaqa, Kadir, Md Nazial, Faruk, Tabassum |
---|---|
Kolejni autorzy: | Islam, Md. Saiful |
Format: | Praca dyplomowa |
Język: | English |
Wydane: |
Brac University
2021
|
Hasła przedmiotowe: | |
Dostęp online: | http://hdl.handle.net/10361/15375 |
Podobne zapisy
-
Machine fault diagnosis using a modified transferable CNN
od: Shammi, Sanjana Khan
Wydane: (2024) -
An Analysis on Bengali handwritten conjunct character recognition and prediction
od: Munawar, Maazin, i wsp.
Wydane: (2021) -
RansomListener: Ransom call sound investigation using LSTM and CNN Architectures
od: Rahman, Rafeed, i wsp.
Wydane: (2021) -
Unmasking malignancy of lung nodule using a modernized ConvNet toward the design of a vision transformer
od: Reza, Jamil Ur, i wsp.
Wydane: (2023) -
A squeeze and excitation ResNeXt-based deep learning model for Bangla handwritten basic to compound character recognition
od: Khan, Mohammad Meraj
Wydane: (2022)