[1] Deep learning in food category recognition. Information Fusion (2023). [2] Computer vision and deep learning-based approaches for detection of food nutrients/nutrition: New insights and advances .

While related research on traditional Chinese medicine recognition and deep learning methods have also begun to be combined, Lee et al. (Lee et al., 2015) studied a deep learning method that used ...

Deep learning is a multilayer neural network learning algorithm which emerged in recent years. It has brought a new wave to machine learning, and making artificial intelligence and human-computer ...

Vehicle type recognition from surveillance images represents a challenging task in the domain of intelligent monitoring systems. Recently, deep learning methods have been applied to solve this problem ...

Adversarial attacks are not something new to the world of Deep Networks used for image recognition. However, as the research with Deep Learning grows, more flaws are uncovered. The team at the Univ… ...

Image Recognition: Deep learning is used in image recognition systems, like facial recognition or object detection in self-driving cars, where convolutional neural networks ...

Monitoring of nature reserves via social media and deep learning. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2024 / 08 / 240807122853.htm ...

PyTorch implementations of the deep residual networks published in "Deep Residual Learning for Image Recognition" by Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun. The images were preprocessed by ...