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| title: Cat vs Dog Classifier | |
| emoji: π±πΆ | |
| colorFrom: blue | |
| colorTo: purple | |
| sdk: gradio | |
| sdk_version: 5.34.2 | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| # Cat vs Dog Image Classifier | |
| A deep learning model that classifies images of cats and dogs with TensorFlow/Keras. | |
|  <!-- Replace with actual demo GIF --> | |
| ## π Try it out! | |
| [](https://huggingface.co/spaces/Ahmedhassan54/Image-Classification) | |
| ## π οΈ Technical Details | |
| ### Model Architecture | |
| ```python | |
| Sequential([ | |
| Conv2D(32, (3,3), activation='relu', input_shape=(150, 150, 3)), | |
| MaxPooling2D((2,2)), | |
| Conv2D(64, (3,3), activation='relu'), | |
| MaxPooling2D((2,2)), | |
| Conv2D(128, (3,3), activation='relu'), | |
| MaxPooling2D((2,2)), | |
| Flatten(), | |
| Dense(512, activation='relu'), | |
| Dropout(0.5), | |
| Dense(1, activation='sigmoid') | |
| ]) |