Convolutional neural networks

Although deep learning performs well on tabular regression and classification datasets, deep learning has a bigger advantage when making predictions from unstructured data such as images or text.

When it comes to classifying images, deep learning shines by analyzing data not one-dimensionally, but two-dimensionally, using convolutional neural networks, or CNNs for short.

Convolutional neural networks are among the strongest machine learning algorithms in the world today for classifying images. In this section, you will learn the basic theory behind convolutions before building your own CNN.

MNIST

MNIST is the name of a famous dataset of handwritten digits from 1998 that has been widely used in computer vision. The dataset consists of 60K training images and 10K test images.

Google Colab includes a smaller sample of 20K training images, along with the 10K test images, that may be directly accessed in a Colab notebook and prepared for machine...