

Artificial Intelligence
This is the diagram Tom drew for Jenny at 2 Feet Brewing.
Artificial Intelligence (AI) is the outer beer ring of Tom’s IPA. AI studies the simulation of intelligent behavior by computers. This is a broad topic, from spam filters to self-driving cars to computer chess.
Machine Learning (ML) is a subset of artificial intelligence whereby a computer improves its performance by learning from new data. ML is further categorized into many types of learning. Tom is interested in deep learning.

Deep Learning (DL) is a neural network with three or more layers, simulating the behavior of the human brain, allowing it to learn from large amounts of data. While a neural network with a single layer can still make approximate predictions, additional hidden layers can optimize and refine for accuracy.
A Convolutional Neural Network (CNN) is a specific type of deep learning neural network designed for processing structured arrays of data. CNNs are widely used in computer vision and have become the state-of-the art basis for many visual applications.
VGG16 is a CNN with sixteen layers that competed in the 2014 ImageNet Large Scale Visual Recognition Challenge. It is still one of the best CNNs to date. This is the CNN Tom used for his neural network.
