CigaretteCNN: A Convolutional Neural Network for Detecting Cigarette Smoking Activity

Smoking activity detection plays a crucial role in public health and safety. In this video, we explore a Convolutional Neural Network (CNN) model designed to detect smoking activity. We break down the architecture of the model, including four convolutional layers and the use of Stochastic Gradient Descent (SGD) with Nesterov momentum. Discover how this model, trained on a diverse dataset, achieved an accuracy of 89.51% in detecting smoking and non-smoking activities. Watch to learn more about how deep learning is advancing in smoke detection technology.
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