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.

書目詳細資料
主要作者:	Khan, Mohammad Meraj
其他作者:	Rahman, Md. Khalilur
格式:	Thesis
語言:	English
出版:	Brac University 2022
主題:	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)
在線閱讀:	http://hdl.handle.net/10361/16368

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