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  1. ML & Data Science
  2. Machine Learning Algorithms
  3. Supervised Learning
  4. Regression algorithms

Multi Layer Perceptron

PreviousLasso regressionNextClassification algorithms

Last updated 1 month ago

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MLP is normally used for Classification. This case is explained at Multilayer Perceptron

  • MLP can be used for regression

  • It can fit the dataset better than the Linear Regression model

  • The architecture of a MLP for regression is simpler, with only one node on the output layer.

The loss function used is: .

MSE Loss (L2 regularization)