Neural Networks: Difference between revisions
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The θ vector represents the model's ''parameters'' (model's ''weights''). | The θ vector represents the model's ''parameters'' (model's ''weights''). | ||
The bias unit is optional, but when it is provided, it is always 1. | |||
Revision as of 01:56, 4 January 2018
Internal
Individual Neuron
This is a representation of a logistic unit with a sigmoid (logistic) activation function.
The θ vector represents the model's parameters (model's weights).
The bias unit is optional, but when it is provided, it is always 1.