Machine Learning Concepts and Conventions: Difference between revisions
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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. | |||
Revision as of 17:42, 7 January 2018
Internal
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.