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.

Podrobná bibliografie
Hlavní autor:	Khan, Mohammad Meraj
Další autoři:	Rahman, Md. Khalilur
Médium:	Diplomová práce
Jazyk:	English
Vydáno:	Brac University 2022
Témata:	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)
On-line přístup:	http://hdl.handle.net/10361/16368

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

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