Neural networks are computational models inspired by the human brain, designed to recognize patterns and solve complex problems by learning from data. They consist of interconnected layers of nodes, or 'neurons', that process input data and iteratively adjust their weights to minimize error and improve accuracy.

Neural Networks

Neural networks

Computational models are abstract representations that use algorithms and mathematical formulations to simulate complex systems and predict their behavior under various conditions. They are essential tools in fields like physics, biology, and economics, providing insights that are often unattainable through traditional experimental methods alone.

computational models

human brain

recognize patterns

solve complex problems

learning from data

interconnected layers

Nodes are fundamental units or points within a network or graph, representing entities or objects that can be connected through edges or links. They are crucial in various fields like computer science, biology, and social sciences for modeling relationships and interactions within complex systems.

nodes

Neurons are the fundamental units of the brain and nervous system, responsible for receiving sensory input, processing information, and transmitting signals to other neurons, muscles, or glands. They communicate through electrical impulses and chemical signals, forming complex networks that underpin all cognitive and physiological functions.

neurons

process input data

adjust their weights

minimize error

improve accuracy

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