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Artificial Intelligence & Machine Learning vocabulary · Neural Networks and Deep Learning

Parameter

Meaning in artificial intelligence & machine learning, with examples

/pəˈræmɪtər/nounCore term

In artificial intelligence & machine learning, parameter means: A number inside a model, such as a weight or a bias, that is learned from data during training. Model size is often given as the number of parameters.

In Turkish: parametre

How it is used

Usually plural and paired with a number: a 7-billion-parameter model, often written 7B. Don't confuse parameters, which the model learns, with hyperparameters, which engineers set before training.

Example sentences

  1. The smaller model has 1.5 billion parameters and fits on a single GPU.

  2. We froze most parameters and trained only the last two layers.

Common collocations

  • number of parameters
  • billion-parameter model
  • freeze parameters
  • trainable parameters
  • weightsThe learned numbers on the connections of a neural network, which decide how strongly each input affects the next layer. Together they hold what the model has learned.
  • hyperparameterA setting chosen by engineers before training rather than learned from data, such as the learning rate, the batch size or the number of layers.
  • modelThe result of training: a program with learned parameters that takes an input, such as an image or a sentence, and produces an output, such as a label, a number or a text.
  • neural networkA model made of many connected units arranged in layers, loosely inspired by the brain. Each connection has a weight that is adjusted during training.

This word in other fields

The same English word can have a different meaning in another field:

More terms: Neural Networks and Deep Learning

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