{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Classifying handwritten digits\n", "\n", "This notebook shows how ``giotto-tda`` can be used to generate topological features for image classification. We'll be using the famous MNIST dataset, which contains images of handwritten digits and is a standard benchmark for testing new classification algorithms.\n", "\n", "
Figure 1: A few digits from the MNIST dataset. Figure reference: en.wikipedia.org/wiki/MNIST_database.
\n", "Figure 2: An example of a topological feature extraction pipeline. Figure reference: arXiv:1910.08345.
\n", "Figure 3: A full-blown topological feature extraction pipeline
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