A squeeze and excitation ResNeXt-based deep learning model for Bangla handwritten basic to compound character recognition

A squeeze and excitation ResNeXt-based deep learning model for Bangla handwritten basic to compound character recognition

This thesis is submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science and Engineering, 2021.

Bibliografiset tiedot
Päätekijä: Khan, Mohammad Meraj
Muut tekijät: Rahman, Md. Khalilur
Aineistotyyppi: Opinnäyte
Kieli:English
Julkaistu: Brac University 2022
Aiheet:
Bangla handwritten-character recognition
Deep convolutional neural network
Squeeze and excitation ResNext
Optical character recognition
Global average pooling
Character recognition
Artificial intelligence.
Simulation.
Neural networks (Computer science)
Cognitive learning theory (Deep learning)
Linkit:http://hdl.handle.net/10361/16368

Internet

http://hdl.handle.net/10361/16368

Samankaltaisia teoksia