This repository contains a set of examples using Cogitare.
MNIST is a classical ML problem used for benchmarking and testing models. It consists of 70000 images of handwritten digits.
Given an image, the model is expected to predict the identify the corresponding digit.
This example implements:
- Logistic Regression