A neural network is a machine learning model inspired by how the human brain functions. It consists of interconnected nodes called neurons, that are arranged in layers. Neural networks are designed to learn and adapt from data, recognize complex patterns, and make decisions based on learned patterns. This makes neural networks powerful tools for tasks such as pattern recognition, classification, regression, and decision-making, which are important in developing AI. In this video, we discuss what neural networks are, how they work, and some of the physics principles that power them.

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