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https://github.com/gokulnpc/dog-vs-cat-classification
This web app is a simple image classification app that uses a pre-trained model to classify images of dogs and cats. The model is trained using the MobileNet V2 architecture with ImageNet pre-trained weights. This is a SavedModel in TensorFlow 2 format. Using it requires TensorFlow 2 (or 1.15) and TensorFlow Hub 0.5.0 or newer.
https://github.com/gokulnpc/dog-vs-cat-classification
classification-model deep-learning machine-learning neural-networks streamlit
Last synced: 9 days ago
JSON representation
This web app is a simple image classification app that uses a pre-trained model to classify images of dogs and cats. The model is trained using the MobileNet V2 architecture with ImageNet pre-trained weights. This is a SavedModel in TensorFlow 2 format. Using it requires TensorFlow 2 (or 1.15) and TensorFlow Hub 0.5.0 or newer.
- Host: GitHub
- URL: https://github.com/gokulnpc/dog-vs-cat-classification
- Owner: gokulnpc
- Created: 2024-03-26T06:50:06.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2024-03-26T16:39:22.000Z (11 months ago)
- Last Synced: 2024-12-07T04:12:18.385Z (2 months ago)
- Topics: classification-model, deep-learning, machine-learning, neural-networks, streamlit
- Language: Jupyter Notebook
- Homepage: https://dog-vs-cat-classification-gokulnpc.streamlit.app/
- Size: 828 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md