jnn: Jeneral Neural Net

Description Usage Arguments Examples

View source: R/jnn.R

Description

This function is a custom implementation of a neural network

Usage

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jnn(X, Y, type = "basic", activation = "sigmoid", cost = "logit",
  optimization = "sgd", neurons = c(4, 6), step = "const", alpha = 0.01,
  iterations = 1000, ...)

Arguments

X

the input matrix

Y

the output input matrix

Examples

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jnn(X, Y)

jakewalker56/jml documentation built on May 18, 2019, 9:08 a.m.