In this chapter, we will look at a simple image recognition dataset called MNIST and build a basic one-dimensional neural network, often called a multilayer perceptron, to classify our digits and categorize black and white images.
Dataset overview
MNIST (Modified National Institute of Standards and Technology) is a dataset put together in 1999 that is an extremely important testbed for computer vision problems. You will see it everywhere in academic papers in this field, and it is considered the computer vision equivalent of hello world. It is a collection of ...