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See:
Description
Class Summary | |
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Architecture | This class represents the general architecture of a neural network and specifies how much layers, neurons constitute the neural network. |
HiddenLayer | This class represents a hidden layer in a MultiLayerPerceptron. |
InputLayer | A special layer holding the input perceptrons. |
InputPerceptron | Class representing an input perceptron. |
Layer | An abstract class defining a layer in a Neural Network. |
MultiLayerPerceptron | Representation of a MultiLayer Perceptron, a neural net with one or more hidden layers. |
Perceptron | Abstract class defining the behaviour of a perceptron in a neural network. |
SigmoidPerceptron | A hidden layer perceptron with a sigmoid activation function. |
This package contains all the necessary classes to build your own neural network.
MultiLayerPerceptron is a class that holds a neural network. Architecture defines the architecture of the network, e.g. the number of inputs, outputs. Perceptron is the abstract superclass for all perceptrons in a neural network. Layer is an abstrat superclass defining a layer in a neural network.
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