Use numpy to classify an image as being pizza or not pizza

Computer vision is a field of computer science that focuses on enabling computers to identify and understand objects and people in images and videos. Like other types of AI, computer vision seeks to perform and automate tasks that replicate human capabilities. In this case, computer vision seeks to replicate both the way humans see, and the way humans make sense of what they see.

Modern computer vision applications are increasingly relying on deep learning algorithms. With deep learning, a computer vision application runs on a type of algorithm called a neural network, which allows it to deliver even more accurate analyses of images. In addition, deep learning allows a computer vision program to retain the information from each image it analyses — so it gets more and more accurate the more it is used.

In my last blog post I compared images of dogs and cats, and that blog post can be seen here:- https://medium.com/@tracyrenee61/classify-dog-and-cat-images-with-an-easy-numpy-neural-network-04681646e0f7

In the dog and cat blog post, I used a very small dataset to make it quicker to train the data and evaluate the model. There were only 20 images of dogs and cats, meaning there was not a great deal of data to train.