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Dense layer

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TL;DR. Another name for a fully connected layer in a neural network.

Technical Definition

Another name for a fully connected layer in a neural network.

How it works

A dense layer, also known as a fully connected layer, is a fundamental building block in neural networks. In this layer, every neuron receives input from every neuron in the previous layer. This allows the layer to learn complex relationships between all the input features.

Related Concepts

  • Neural Network — A computing system inspired by biological neural networks that learns patterns from data through interconnected layers of nodes.
  • Layer — A group of neurons that perform the same kind of transformation in parallel.
  • Fully connected layer — A layer in a neural network where each neuron is connected to every neuron in the preceding layer.

Further Reading

  • Google ML Glossary