Cats vs Dogs Image Classifier
Deep Learning Convolutional Neural Network
Prediction:
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Confidence:
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Model Information
- Architecture: 5-layer CNN (Conv2D → ReLU → MaxPool → BatchNorm), 3 Dense layers.
- Dataset: Kaggle Dogs vs Cats (18,000 images).
- Validation Accuracy: 89.8%.
- Backend: Pure Python 3 + NumPy vectorized inference.