Description Arguments Value Fields
The PerceptronLayer class, that implements a layer of Perceptron neurons.
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 |
The computed value using the Perceptron model.
Vector of computed values of the same size of the last layer
nThe number of neurons to create in the layer
dimsA vector of dimensions of the inputs to the layer
neuronsA list with the internal neurons
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