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.

Detaylı Bibliyografya
Asıl Yazarlar:	Pranta, Kazi Al Refat, Islam, Fahad Mohammad Rejwanul, Ahmed, Khandakar Fahim, Saha, Prince, Rahman, Naimur
Diğer Yazarlar:	Reza, Tanzim
Materyal Türü:	Tez
Dil:	English
Baskı/Yayın Bilgisi:	Brac University 2024
Konular:	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)
Online Erişim:	http://hdl.handle.net/10361/22890

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