MNIST Digit Recognition
Draw a digit and watch the neural network predict in real-time
Neural Network Prediction
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Confidence Scores
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Network Architecture
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Model Summary
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Training Information
| Architecture | MNISTNet CNN |
| Parameters | 455,754 trainable |
| Input Size | 28×28 grayscale |
| Test Accuracy | 99.66% |
| Training Time | 340 seconds (15 epochs) |
| Optimizer | Adam (lr=0.001) |
| Batch Size | 128 |
| Dataset | 60K train / 10K test |