Name | Description | Type | Package | Framework |
Architecture | This class represents the general architecture of a neural network and specifies how much layers, neurons constitute the neural network. | Class | org.knime.base.data.neural | KNIME |
HiddenLayer | This class represents a hidden layer in a MultiLayerPerceptron. | Class | org.knime.base.data.neural | KNIME |
InputLayer | A special layer holding the input perceptrons. | Class | org.knime.base.data.neural | KNIME |
InputPerceptron | Class representing an input perceptron. | Class | org.knime.base.data.neural | KNIME |
Layer | An abstract class defining a layer in a Neural Network. | Class | org.knime.base.data.neural | KNIME |
MultiLayerPerceptron | Representation of a MultiLayer Perceptron, a neural net with one or moreAuthor:Nicolas Cebron, University of Konstanz | Class | org.knime.base.data.neural | KNIME |
Perceptron | Abstract class defining the behaviour of a perceptron in a neural network. | Class | org.knime.base.data.neural | KNIME |
RProp | 'A Direct Adaptive Method for Faster backpropagation Learning: The RPROP Algorithm', Proc. | Class | org.knime.base.data.neural.methods | KNIME |
SigmoidPerceptron | A hidden layer perceptron with a sigmoid activation function. | Class | org.knime.base.data.neural | KNIME |