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.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας:	Khan, Mohammad Meraj
Άλλοι συγγραφείς:	Rahman, Md. Khalilur
Μορφή:	Thesis
Γλώσσα:	English
Έκδοση:	Brac University 2022
Θέματα:	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)
Διαθέσιμο Online:	http://hdl.handle.net/10361/16368

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