Examples with FlatLayer org.encog.neural.flat.FlatLayer used on opensource projects

Example 1 with FlatLayer

use of org.encog.neural.flat.FlatLayer in project shifu by ShifuML.

the class FloatNeuralStructure method finalizeStruct.

/**
 * Build the synapse and layer structure. This method should be called afteryou are done adding layers to a network,
 * or change the network's logic property.
 */
public void finalizeStruct() {
    if (this.getLayers().size() < 2) {
        throw new NeuralNetworkError("There must be at least two layers before the structure is finalized.");
    }
    final FlatLayer[] flatLayers = new FlatLayer[this.getLayers().size()];
    for (int i = 0; i < this.getLayers().size(); i++) {
        final BasicLayer layer = (BasicLayer) this.getLayers().get(i);
        if (layer.getActivation() == null) {
            layer.setActivation(new ActivationLinear());
        }
        flatLayers[i] = layer;
    }
    this.setFlat(new FloatFlatNetwork(flatLayers, true));
    finalizeLimit();
    this.getLayers().clear();
    enforceLimit();
}

Example 2 with FlatLayer

use of org.encog.neural.flat.FlatLayer in project shifu by ShifuML.

the class FloatFlatNetwork method init.

private void init(FlatLayer[] layers, boolean dropout) {
    super.init(layers);
    final int layerCount = layers.length;
    if (dropout) {
        this.setLayerDropoutRates(new double[layerCount]);
    } else {
        this.setLayerDropoutRates(new double[0]);
    }
    int index = 0;
    for (int i = layers.length - 1; i >= 0; i--) {
        final FlatLayer layer = layers[i];
        if (dropout && layer instanceof BasicDropoutLayer) {
            this.getLayerDropoutRates()[index] = ((BasicDropoutLayer) layer).getDropout();
        }
        index += 1;
    }
}