Neural networks are the foundation of modern machine learning and AI. They are the most essential component in understanding what AI is and how it works. In this article, you’ll learn the basics of neural networks, and then we’ll delve into some of the most common variants, like the feedforward and recurrent networks, which drive everything from large language models like ChatGPT and Bard to image generation with stable diffusion.
The perceptron
All neural networks share one basic characteristic: they are interrelated groups of nodes. More technically, they are graphs. The attributes of the nodes and the ways the edges are connected vary widely. The very simplest node structure is, of course, a single node.
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