Package tv.floe.metronome.deeplearning.neuralnetwork.activation

Examples of tv.floe.metronome.deeplearning.neuralnetwork.activation.ActivationFunction.applyDerivative()

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                //-( y - h) .* f'(z^l) where l is the output layer
                //delta = labels.sub(activations.get(i)).neg().mul(softMaxDerivative.applyDerivative(activations.get(i)));
                Matrix tmpDelta = MatrixUtils.neg( labels.minus( activations.get( i ) ) );

                delta = MatrixUtils.elementWiseMultiplication( tmpDelta, softMaxDerivative.applyDerivative(activations.get(i)) );

                deltas[i] = delta;


            } else {
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