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README.md
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title: Simple MNIST Classifier
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sdk: gradio
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The model used is a Neural Network made with Python and Numpy only.
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Architecture is 784 input units, two hidden layers of 72 and
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Training was done on the MNIST training dataset of 60000 images.
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Video (Portuguese-Brazil): https://www.youtube.com/watch?v=NhG8NsHW6fI
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title: Simple MNIST Classifier
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emoji: 🔢
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colorFrom: indigo
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colorTo: pink
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sdk: gradio
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---
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The model used is a Neural Network made with Python and Numpy only.
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Architecture is 784 input units, two hidden layers of 72 and 48 units and a 10 unit output.
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Training was done on the MNIST training dataset of 60000 images.
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Video (Portuguese-Brazil): https://www.youtube.com/watch?v=NhG8NsHW6fI
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