McCullochPittsLayer-class {deep} | R Documentation |
The McCullochPittsLayer class, that implements a layer of McCullochPitts neurons.
Description
The McCullochPittsLayer class, that implements a layer of McCullochPitts neurons.
Arguments
input |
The actual data to be fed to the layer, this input's
dimentions vary with the chosen |
ins |
The list of vectors of inputs to the first layer in the network |
outs |
The list of vectors of outputs of the last layer in the network |
epochs |
How many rounds of training to run |
tax |
This is the learning rate, aka eta |
maxErr |
A contition to early stop the training process |
Value
The computed value using the McCullochPittsLayer model.
Vector of computed values of the same size of the last layer
Fields
n
The number of neurons to create in the layer
dims
A vector of dimensions of the inputs to the layer
neurons
A list with the internal neurons
[Package deep version 0.1.0 Index]