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.
Päätekijät: | Abrar, Muntaqa, Kadir, Md Nazial, Faruk, Tabassum |
---|---|
Muut tekijät: | Islam, Md. Saiful |
Aineistotyyppi: | Opinnäyte |
Kieli: | English |
Julkaistu: |
Brac University
2021
|
Aiheet: | |
Linkit: | http://hdl.handle.net/10361/15375 |
Samankaltaisia teoksia
-
Machine fault diagnosis using a modified transferable CNN
Tekijä: Shammi, Sanjana Khan
Julkaistu: (2024) -
An Analysis on Bengali handwritten conjunct character recognition and prediction
Tekijä: Munawar, Maazin, et al.
Julkaistu: (2021) -
RansomListener: Ransom call sound investigation using LSTM and CNN Architectures
Tekijä: Rahman, Rafeed, et al.
Julkaistu: (2021) -
Unmasking malignancy of lung nodule using a modernized ConvNet toward the design of a vision transformer
Tekijä: Reza, Jamil Ur, et al.
Julkaistu: (2023) -
A squeeze and excitation ResNeXt-based deep learning model for Bangla handwritten basic to compound character recognition
Tekijä: Khan, Mohammad Meraj
Julkaistu: (2022)