stem/AI/Neural Networks/Learning/Learning.md
andy 1513f2b378 vault backup: 2023-06-07 09:02:27
Affected files:
STEM/AI/Classification/Classification.md
STEM/AI/Classification/Decision Trees.md
STEM/AI/Classification/Gradient Boosting Machine.md
STEM/AI/Classification/Logistic Regression.md
STEM/AI/Classification/Random Forest.md
STEM/AI/Classification/Supervised.md
STEM/AI/Classification/Supervised/README.md
STEM/AI/Classification/Supervised/SVM.md
STEM/AI/Classification/Supervised/Supervised.md
STEM/AI/Learning.md
STEM/AI/Neural Networks/Learning/Boltzmann.md
STEM/AI/Neural Networks/Learning/Competitive Learning.md
STEM/AI/Neural Networks/Learning/Credit-Assignment Problem.md
STEM/AI/Neural Networks/Learning/Hebbian.md
STEM/AI/Neural Networks/Learning/Learning.md
STEM/AI/Neural Networks/Learning/README.md
STEM/AI/Neural Networks/RNN/Autoencoder.md
STEM/AI/Neural Networks/RNN/Deep Image Prior.md
STEM/AI/Neural Networks/RNN/MoCo.md
STEM/AI/Neural Networks/RNN/Representation Learning.md
STEM/AI/Neural Networks/RNN/SimCLR.md
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Learning is a process by which the free parameters of a neural network are adapted through a process of stimulation by the environment in which the network is embedded. The type of learning is determined by the manner in which the parameter changes take place

  1. The neural network is stimulated by an environment
  2. The network undergoes changes in its free parameters as a result of this stimulation
  3. The network responds in a new way to the environment as a result of the change in internal structure