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GitHub / GvHemanth / ResNet-CNN---Flower-Image-Classification-

This project uses deep learning to classify flower images as "roses" or "daisies," employing data augmentation, ResNet-18 architecture, and hyperparameter tuning.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/GvHemanth%2FResNet-CNN---Flower-Image-Classification-

Stars: 0
Forks: 0
Open Issues: 0

License: None
Language: Jupyter Notebook
Repo Size: 1.11 MB
Dependencies: pending

Created: 11 months ago
Updated: 11 months ago
Last pushed: 11 months ago
Last synced: 4 months ago

Topics: cnn, data-augmentation, data-preprocessing, deep-learning, hyperparameter-tuning, image-classification, matplotlib, numpy, resnet-18, skimage, tensorflow

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