src/core/layer/regularization/GradientClipping.java
protected void defineProcedure() throws NeuralNetworkException {
        if (getNextLayer().getWeightsMap().isEmpty()) throw new NeuralNetworkException("Unable initialize weight normalization. Next layer does not contain any weights.");

        nextLayerRegularizedWeights = getNextLayer().getRegularizedWeights();
    }
/**
     * Defines layer procedure for forward and backward calculation (automatic gradient) by applying procedure factory.<br>
     *
     * @throws NeuralNetworkException thrown if initialization of layer fails.
     */
Defines layer procedure for forward and backward calculation (automatic gradient) by applying procedure factory.

@throws NeuralNetworkException thrown if initialization of layer fails.
Defines layer procedure for forward and backward calculation ( automatic gradient ) by applying procedure factory . @throws NeuralNetworkException thrown if initialization of layer fails .
protected void defineProcedure() throws NeuralNetworkException {
        if (getNextLayer().getWeightsMap().isEmpty()) throw new NeuralNetworkException("Unable initialize weight normalization. Next layer does not contain any weights.");
        nextLayerRegularizedWeights = getNextLayer().getRegularizedWeights();
    }
protected void defineProcedure ( ) throws NeuralNetworkException { if ( getNextLayer ( ) . getWeightsMap ( ) . isEmpty ( ) ) throw new NeuralNetworkException ( "Unable initialize weight normalization. Next layer does not contain any weights." ) ; nextLayerRegularizedWeights = getNextLayer ( ) . getRegularizedWeights ( ) ; }
Defines layer procedure for forward and backward calculation (automatic gradient) by applying procedure factory.<br>
Defines layer procedure for forward and backward calculation ( automatic gradient ) by applying procedure factory . <br >