Neural Networks

A neural network is built from a repeated processing unit called an artificial neuron. Each unit combines inputs and commonly applies an activation function, allowing the network to represent complex relationships.

Japanese terms

1. Neural network — ニューラルネットワーク: A model composed of connected processing units arranged in layers.
2. Artificial neuron — 人工じんこうニューロン: A mathematical unit that combines inputs and applies an activation function to produce an output.
3. Activation function — 活性化関数かっせいかかんすう: A function that transforms a neuron’s combined input and introduces nonlinear behavior.

Related topics

Deep learning trains neural networks with many learned layers, and graph neural networks adapt them to graph-structured data.