cnn-and-residual-connections-for-cow-teat-image-classification
Paper Name: Convolutional Neural Networks and Residual Connections for Cow Teat Image Classification. Testing the impact of Convolutional Neural layers and Residual Conections in the accuracy of dairy Cows Teat Imaga classification Dataset from and testing software: https://github.com/YoushanZhang/SCTL
https://github.com/athanatos96/cnn-and-residual-connections-for-cow-teat-image-classification
Science Score: 26.0%
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Low similarity (2.0%) to scientific vocabulary
Keywords
Repository
Paper Name: Convolutional Neural Networks and Residual Connections for Cow Teat Image Classification. Testing the impact of Convolutional Neural layers and Residual Conections in the accuracy of dairy Cows Teat Imaga classification Dataset from and testing software: https://github.com/YoushanZhang/SCTL
Basic Info
- Host: GitHub
- Owner: athanatos96
- Language: Jupyter Notebook
- Default Branch: main
- Homepage: https://www.researchgate.net/publication/365298633_Convolutional_Neural_Networks_and_Residual_Connections_for_Cow_Teat_Image_Classification
- Size: 1.77 GB
Statistics
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
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Owner
- Name: Alejandro C Parra
- Login: athanatos96
- Kind: user
- Location: New York
- Website: https://www.linkedin.com/in/alejandro-parra-garcia/
- Repositories: 3
- Profile: https://github.com/athanatos96
Master of Science in Artificial Intelligence | Machine Learning Engineer | Business Administration and Management