MLchartDataset catalogue

Hidden layer

Term · Meteorology and atmospheric science · MLC-T-MET-006239

A layer of nodes in an artificial neural network located between the input layer and the output layer. Each node, or neuron, in a hidden layer processes a weighted sum of inputs from the previous layer and applies an activation function before passing the result to the next layer. The number of hidden layers and the number of nodes within them determine the complexity of the patterns a model can learn from meteorological data.

Table 1. Record
IdentifierMLC-T-MET-006239
FieldMeteorology and atmospheric science
Record as JSON
{
  "id": "MLC-T-MET-006239",
  "term": "Hidden layer",
  "field": "Meteorology and atmospheric science",
  "definition": "A layer of nodes in an artificial neural network located between the input layer and the output layer. Each node, or neuron, in a hidden layer processes a weighted sum of inputs from the previous layer and applies an activation function before passing the result to the next layer. The number of hidden layers and the number of nodes within them determine the complexity of the patterns a model can learn from meteorological data.",
  "url": "https://mlchart.com/terminology/meteorology/hidden-layer/"
}

Record 4,529 of 10,816 in Meteorology and atmospheric science terminology (MLC-0110). Request the full dataset.