back_propogation-Neural_Network-numeric-numeric-numeric-method: back prop

Description Usage Arguments Value

Description

updates connection strengths using results of last forward prop

Usage

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## 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


DamianSiniakowicz/DamiaNN_R_Package documentation built on July 8, 2020, 11:52 p.m.