fitTeachNet1: One step in backpropagation

In TeachNet: Fits Neural Networks to Learn About Backpropagation

Description

One step in the backpropagation algorithm for a one hidden layer network

Usage

fitTeachNet1(data, weights, hidden.structure, learning.rate, f, f_d, decay, m_f, er)

Arguments

data	the data set
weights	current weights
hidden.structure	the number of neurons in the hidden layer
learning.rate	rate by which factor for backpropagation gets smaller
f	activation function
f_d	derivative of activation function
decay	value of weight decay
m_f	interim value m
er	error function

Value

returns new the weight after gradient update

Author(s)

Georg Steinbuss

TeachNet documentation built on May 2, 2019, 7 a.m.