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.

מידע ביבליוגרפי
Main Authors: Pranta, Kazi Al Refat, Islam, Fahad Mohammad Rejwanul, Ahmed, Khandakar Fahim, Saha, Prince, Rahman, Naimur
מחברים אחרים: Reza, Tanzim
פורמט: Thesis
שפה:English
יצא לאור: Brac University 2024
נושאים:
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)
גישה מקוונת:http://hdl.handle.net/10361/22890

אינטרנט

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

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