Neuron
A Neuron is a basic computational unit in an artificial neural network that receives input values, applies weights and a bias, and passes the resulting value through an activation function to produce an output.
What is a Neuron?
A neuron combines its input values using learned weights and adds a bias. The resulting value is then processed by an activation function, which determines the neuron's output. Networks of interconnected neurons form layers that allow neural networks to learn increasingly complex patterns from data.
Why is Neuron Important?
Neurons are the fundamental building blocks of neural networks. By combining many neurons across multiple layers, models can learn relationships and representations that support tasks such as classification, prediction, and pattern recognition.
Common use cases
Neurons are used in artificial neural networks for image recognition, natural language processing, speech recognition, forecasting, classification, and generative AI.