Machine Learning Concepts and Conventions: Difference between revisions
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=External= | |||
=Internal= | =Internal= | ||
* [[Machine Learning#Subjects|Machine Learning]] | * [[Machine Learning#Subjects|Machine Learning]] | ||
=Overview= | |||
=Hypothesis Function= | =Hypothesis Function= | ||
For [[Neural Networks#Overview|neural networks]], the hypothesis function is calculated by the the output layer, applying the logistic function to the activations of the previous layer. | For [[Neural Networks#Overview|neural networks]], the hypothesis function is calculated by the the output layer, applying the logistic function to the activations of the previous layer. | ||
Latest revision as of 17:51, 7 January 2018
External
Internal
Overview
Hypothesis Function
For neural networks, the hypothesis function is calculated by the the output layer, applying the logistic function to the activations of the previous layer.