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Deep model

Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.

TL;DR. A neural network with more than one hidden layer, also known as a deep neural network.

Technical Definition

A neural network with more than one hidden layer, also known as a deep neural network.

How it works

A deep model is characterized by its depth, meaning it has multiple hidden layers between the input and output layers. This depth allows the model to learn increasingly complex patterns and hierarchical features from the data. Deep models are the foundation of much of modern deep learning.

Related Concepts

  • Neural Network — A computing system inspired by biological neural networks that learns patterns from data through interconnected layers of nodes.
  • Deep Learning — A subset of machine learning using neural networks with many layers to learn hierarchical representations from large datasets.
  • Hidden Layer — Any layer in a neural network that is neither the input nor the output.

Further Reading

  • Google ML Glossary