Machine Learning Concepts and Conventions: Difference between revisions
Jump to navigation
Jump to search
(Created page with "=Internal= * Machine Learning =Hypothesis Function=") |
No edit summary |
||
(One intermediate revision by the same user not shown) | |||
Line 1: | Line 1: | ||
=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. |
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.