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.

書目詳細資料
Main Authors: Pranta, Kazi Al Refat, Islam, Fahad Mohammad Rejwanul, Ahmed, Khandakar Fahim, Saha, Prince, Rahman, Naimur
其他作者: Reza, Tanzim
格式: Thesis
語言:English
出版: Brac University 2024
主題:
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)
在線閱讀:http://hdl.handle.net/10361/22890

因特網

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

相似書籍