full_connected_layer {CNN} R Documentation

Neurons in a fully connected layer have full connections to all

Description

activations in the previous layer, as seen in regular Neural Networks.
Their activations can hence be computed with a matrix multiplication
followed by a bias offset.

Usage

full_connected_layer(size);

Arguments

size

[as integer]

Details

Authors

MLkit

Value

this function returns data object of type CNNLayerArguments.

clr value class

Examples


[Package CNN version 1.0.0.0 Index]