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.

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Khan, Mohammad Meraj
مؤلفون آخرون:	Rahman, Md. Khalilur
التنسيق:	أطروحة
اللغة:	English
منشور في:	Brac University 2022
الموضوعات:	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)
الوصول للمادة أونلاين:	http://hdl.handle.net/10361/16368

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

مواد مشابهة