What are Convolutional Neural Networks and why are they important? Convolutional Neural Networks (ConvNets or CNNs) are a category of Neural Networks that have proven very effective in areas such as image recognition and classification. ConvNets have been successful in identifying faces, objects and traffic signs apart from powering vision in robots and self driving cars. Figure 1:…
In this project, we provide our implementations of CNN [Zeng et al., 2014] and PCNN [Zeng et al.,2015] and their extended version with sentence-level attention scheme [Lin et al., 2016] .
Subscribe to stay notified about new videos: http://3b1b.co/subscribe Support more videos like this on Patreon: https://www.patreon.com/3blue1brown Special t...
S. Sapkota, A. Shakya, and B. Joshi. Proceedings of the 26th International Conference of the ORIENTAL- COCOSDA (O-COCOSDA 2023), page 1-6. IEEE, (December 2023)
D. Lee, S. Yu, and H. Yu. Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, page 1362–1370. New York, NY, USA, Association for Computing Machinery, (2020)
M. Beyer, S. Gesper, A. Guntoro, G. Paya-Vaya, and H. Blume. Proceedings - 2023 IEEE 34th International Conference on Application-Specific Systems, Architectures and Processors, ASAP 2023, page 61--68. United States, Institute of Electrical and Electronics Engineers Inc., (2023)Funding Information: This work is supported by the German federal ministry of education and research (BMBF), project ZuSE-KI-AVF (grant no. 16ME0062).; 34th IEEE International Conference on Application-Specific Systems, Architectures and Processors, ASAP 2023 ; Conference date: 19-07-2023 Through 21-07-2023.