Karpathy, A., Toderici, G., Shetty, S., Leung, T., Sukthankar, R., & Fei-Fei, L. (2014). Large-scale video classification with convolutional neural networks. In Proceedings of the IEEE conference on Computer Vision and Pattern Recognition (pp. 1725-1732).

San Jose State University

CNNs are currently being applied to several applications, including:

 - Computer vision—medical image analysis, image recognition, face detection and video classification
 - Natural Language Processing (NLP)—semantic parsing, sentence modeling and search query retrieval
 - Drug discovery—the discovery of chemical features and prediction of medicinal benefits

Applications of Convolutional Neural Networks

One of the most popular introductory applications of CNN is image recognition, specifically sorting through images and classifying them as either cat or not cat.

Using Convolutional Neural Network for Image Recognition

"Large-scale Video Classification with Convolutional Neural Networks" is one of the first papers that have mentioned CNN for video classification. Two main questions addressed by this paper are 

 - "what temporal connectivity pattern in a CNN architecture is best at taking advantage of local motion information present in the video?"

- "How does the additional motion information influence the predictions
of a CNN and how much does it improve performance overall? "

Learn Before

Related