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The Skymind Wiki eBook: Part 3

The Math Behind Neural Networks

A deep dive into the mathematics powering state-of-the-art advances in artificial intelligence.

Neural networks are a set of algorithms, modeled loosely after the human brain, that are designed to recognize patterns. To an outsider, a neural network may appear to be a magical black box capable of human-level cognition.

Under the surface, however, neural networks contain a structured sequence of math and code. To understand how neural networks make predictions, you must understand the methodology, structure, and mathematics behind each architecture -- the foundations of which are just linear algebra and calculus.