Leveraging sequential deep learning models for detecting multitude of human action categories

Leveraging sequential deep learning models for detecting multitude of human action categories

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Pranta, Kazi Al Refat, Islam, Fahad Mohammad Rejwanul, Ahmed, Khandakar Fahim, Saha, Prince, Rahman, Naimur
مؤلفون آخرون: Reza, Tanzim
التنسيق: أطروحة
اللغة:English
منشور في: Brac University 2024
الموضوعات:
Human action recognition
Intelligent decision-making
Recurrent neural network (RNN)
Machine learning
Convolutional long short-term memory
Deep learning (Machine learning)
Neural networks (Computer science)
Cognitive learning theory (Deep learning)
الوصول للمادة أونلاين:http://hdl.handle.net/10361/22890

الانترنت

http://hdl.handle.net/10361/22890

مواد مشابهة