back_propogation,Neural_Network,numeric,numeric,numeric-method {DamiaNN}

back prop

Description

updates connection strengths using results of last forward prop

Usage

## S4 method for signature 'Neural_Network,numeric,numeric,numeric'
back_propogation(object,
  target, regularization_parameter, learning_rate)

Arguments

object

is a Neural_Network

target

is a numeric vector

regularization_parameter

is non-negative number punishes strong connections

learning_rate

is a positive number that controls the rate at which connections are adjusted

Value

Neural_Network