Neural Networks: Difference between revisions
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This is a representation of a logistic unit with a sigmoid ([[Sigmoid_Function#Logistic_Function|logistic]]) activation function. | This is a representation of a logistic unit with a sigmoid ([[Sigmoid_Function#Logistic_Function|logistic]]) activation function. | ||
The θ vector represents the model's ''parameters'' (model's ''weights''). | The θ vector represents the model's ''parameters'' (model's ''weights''). For a multi-layer neural network, the model parameters are collected in matrices named Θ, which will be describe below. | ||
The bias unit is optional, but when it is provided, it is always 1. | The bias unit is optional, but when it is provided, it is always 1. | ||
Revision as of 01:58, 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). For a multi-layer neural network, the model parameters are collected in matrices named Θ, which will be describe below.
The bias unit is optional, but when it is provided, it is always 1.