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title: Simple MNIST Classifier | |
emoji: 🔢 | |
colorFrom: indigo | |
colorTo: pink | |
sdk: gradio | |
sdk_version: 3.47.1 | |
app_file: app.py | |
pinned: false | |
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 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 | |