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GitHub / LinggarM / Poultry-Meat-Freshness-Classification-with-Transfer-Learning-using-ResNet

The utilization of the ResNet architecture and Transfer Learning methods to classify Poultry Meat Freshness images into two categories, namely Fresh and Rotten.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LinggarM%2FPoultry-Meat-Freshness-Classification-with-Transfer-Learning-using-ResNet

Stars: 0
Forks: 1
Open issues: 0

License: mit
Language: Jupyter Notebook
Size: 89 MB
Dependencies parsed at: Pending

Created at: almost 4 years ago
Updated at: over 1 year ago
Pushed at: over 1 year ago
Last synced at: about 2 months ago

Topics: artificial-intelligence, binary-classification, cnn, colab-notebooks, computer-vision, deep-learning, fine-tuning, imagenet, machine-learning, meat-classification, numpy, pandas, poultry, python, residual-networks, resnet, scikit-learn, supervised-learning, tensorflow, transfer-learning

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