AI Edge Platform on ZynQ FPGA

Artificial Neural Networks

Artificial neural networks (ANN) or connectionist systems are computing systems vaguely inspired by the biological neural networks that constitute animal brains. Such systems “learn” to perform tasks by considering examples, generally without being programmed with task-specific rules; so you can get it to learn things, recognize patterns, and make decisions in a “human-like” way. The patterns recognized are numerical, contained in tensors, into which all real-world data, be it images, sound, text or time series, must be translated.

Difference between traditional programming and machine learning (Laurence Moroney and Karmel Allison)

How does a neural
network learn?

Information flows