{ "cells": [ { "attachments": {}, "cell_type": "markdown", "id": "9233d4b8-70a0-4e5e-988e-e3c962a187b8", "metadata": {}, "source": [ "# MNIST Classification\n", "\n", "[](https://mybinder.org/v2/gh/rl-tools/documentation/binder?labpath=05-MNIST%20Classification.ipynb)" ] }, { "attachments": {}, "cell_type": "markdown", "id": "5ff76312", "metadata": {}, "source": [ "In this tutorial we train a simple (fully-connected) model to classify handwritten digits from the MNIST dataset which contains $28 \\times28$ grayscale images like the following:\n", "\n", "