https://github.com/ranfysvalle02/cnn-transfer-learning

The provided code demonstrates transfer learning by adapting a model trained using synthetic data to classify circles, squares, and triangles to classify new shapes like stars and pentagons. By fine-tuning a pre-trained model originally designed for a different task, the repository showcases how to efficiently adapt a model to a new domain.
https://github.com/ranfysvalle02/cnn-transfer-learning

cnn-classification convolutional-neural-network fine-tuning fine-tuning-cnns neural-network transfer-learning transfer-learning-with-cnn

Last synced: 9 days ago
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The provided code demonstrates transfer learning by adapting a model trained using synthetic data to classify circles, squares, and triangles to classify new shapes like stars and pentagons. By fine-tuning a pre-trained model originally designed for a different task, the repository showcases how to efficiently adapt a model to a new domain.

• Host: GitHub
• URL: https://github.com/ranfysvalle02/cnn-transfer-learning
• Owner: ranfysvalle02
• Created: 2024-10-16T01:55:27.000Z (about 1 month ago)
• Default Branch: main
• Last Pushed: 2024-10-16T04:14:38.000Z (about 1 month ago)
• Last Synced: 2024-10-18T16:16:47.753Z (28 days ago)
• Topics: cnn-classification, convolutional-neural-network, fine-tuning, fine-tuning-cnns, neural-network, transfer-learning, transfer-learning-with-cnn
• Language: Python
• Homepage:
• Size: 242 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0

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