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nn-scratch-mnist

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ffcm commited on Oct 15, 2023

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@@ -1,6 +1,6 @@
 ---
 title: Simple MNIST Classifier
-emoji: 🏃
 colorFrom: indigo
 colorTo: pink
 sdk: gradio
@@ -11,7 +11,7 @@ license: mit
 ---
 The model used is a Neural Network made with Python and Numpy only.
-Architecture is 784 input units, two hidden layers of 72 and 24 units and a 10 unit output.
 Training was done on the MNIST training dataset of 60000 images.
 Video (Portuguese-Brazil): https://www.youtube.com/watch?v=NhG8NsHW6fI

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