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.

מידע ביבליוגרפי
מחבר ראשי: Khan, Mohammad Meraj
מחברים אחרים: Rahman, Md. Khalilur
פורמט: Thesis
שפה:English
יצא לאור: Brac University 2022
נושאים:
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)
גישה מקוונת:http://hdl.handle.net/10361/16368
תיאור
סיכום: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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