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GitHub / JustinaMichael / HierbaNetV1-A-Novel-CNN-Architecture

HierbaNetV1 is a novel convolutional neural network (CNN) architecture with a cutting-edge feature extraction technique

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JustinaMichael%2FHierbaNetV1-A-Novel-CNN-Architecture

Stars: 0
Forks: 0
Open Issues: 0

License: apache-2.0
Language: Jupyter Notebook
Repo Size: 102 KB
Dependencies: 0

Created: 7 months ago
Updated: about 1 month ago
Last pushed: about 1 month ago
Last synced: about 1 month ago

Topics: cnn, cnn-classification, cnn-model, crop-weed-dataset, crop-weed-detection, feature-extraction, feature-integration, hierbanetv1, high-level-feature, low-level-feature, novel, sorghumweeddataset-classification

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