sigmoid: Sigmoid

In modello: Homemade Deep Learning Library

Description

Calculates the sigmoid

sigmoid = 1 / (1 + exp(-x))

Usage

## S3 method for class 'modello_number'
sigmoid(x)

## Default S3 method:
sigmoid(x)

sigmoid(x)

Arguments

x	a 'numeric' or a reference object of class 'number'

Value

Returns a 'numeric' or reference object of class 'number'

Author(s)

Filippo Monari

Examples

modello.init(10, 10, 10, 10)
## For modello_numbers sclars
x1 = number(rnorm(1), scalar=TRUE)
y1 = sigmoid(x1)
print(y1)
print(y1$v)
## For modello_number arrays 
x2 = number(matrix(rnorm(9), 3, 3))
y2 = sigmoid(x2)
print(y2)
print(y2$v)
modello.close()
## For numeric sclars
x1 = rnorm(1)
y1 = sigmoid(x1)
print(y1)
## For numeric arrays
x2 = matrix(rnorm(9), 3, 3)
y2 = sigmoid(x2)
print(y2)

modello documentation built on Feb. 2, 2021, 9:06 a.m.