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.

Dades bibliogràfiques
Autor principal: Khan, Mohammad Meraj
Altres autors: Rahman, Md. Khalilur
Format: Thesis
Idioma:English
Publicat: Brac University 2022
Matèries:
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)
Accés en línia:http://hdl.handle.net/10361/16368
Descripció
Sumari: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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