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README.md
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- ylecun/mnist
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metrics:
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- accuracy
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---
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# Model Summary
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- ylecun/mnist
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metrics:
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- accuracy
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model-index:
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- name: febrifahmi/NoD (mnist_nod2_model10.keras)
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results:
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- task:
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type: image-classification
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name: Image Classification
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dataset:
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name: MNIST Test Set
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type: ylecun/mnist
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split: test
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.9883
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---
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# Model Summary
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