Examples of tv.floe.metronome.classification.neuralnetworks.activation.Sigmoid

Package tv.floe.metronome.classification.neuralnetworks.activation

Examples of tv.floe.metronome.classification.neuralnetworks.activation.Sigmoid

tv.floe.metronome.classification.neuralnetworks.activation.Sigmoid
Classical neural network activation function - scalar to scalar function - needed for hidden units to introduce non-linearity into the networks --- composition of linear functions is a linear function! - backpropagation works well with sigmoid function @author josh

    
    if (0 == layerIndex) {
      n = new InputNeuron();
      
    } else {
      n = new Neuron(new WeightedSum(), new Sigmoid());
    }
    
    
    
    return n;

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Related Classes of tv.floe.metronome.classification.neuralnetworks.activation.Sigmoid

tv.floe.metronome.classification.neuralnetworks.core.neurons.Neuron

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