---
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