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Class Summary | |
Layer | The Layer class consist of a collection of Neuron objects. |
Network | The Network class consist of one or several Layer objects. |
NetworkModel | |
NetworkParam | A NetworkParam object contain the weights, biases and activation functions for a feedforward network. |
Neuron | The Neuron class is the smallest building block of a network. |
NormParam | The class NormParam contain the normalization parameters needed for the preprocessing of a TimeSeries object before it is input to a network. |
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