### Question:
NeuralNetwork { public Matrix[] feedForward(final Matrix input) { return feedForward(0, layers.length - 1, input); } @Inject private  NeuralNetwork(final MatrixFactory matrixFactory,
                        final ConfigurationSerializer configurationSerializer,
                        @Parameter(SerializedLayerConfigurationSet.class) final Set<String> serializedLayerConfSets,
                        final ParameterProvider parameterProvider,
                        @Parameter(InputShape.class) final String inputShape,
                        final Injector injector); LayerParameter[] getParameters(); void train(final Matrix input, final Matrix label); void train(final Matrix input, final int[] labels); Matrix[] feedForward(final Matrix input); Matrix[] feedForward(final int begin, final int end, final Matrix input); Matrix[] backPropagate(final Matrix[] activations,
                                final Matrix label); Matrix[] backPropagateTo(final int end,
                                  final Matrix[] activations,
                                  final Matrix label); Matrix[] backPropagateFromTo(final int begin, final int end,
                                      final Matrix[] activations,
                                      final Matrix nextError); LayerParameter[] generateParameterGradients(final Matrix[] activations,
                                                     final Matrix[] errors); LayerParameter[] generateParameterGradients(final int begin, final int end,
                                                     final Matrix[] activations,
                                                     final Matrix[] errors);  }### Answer:
@Test public void feedForwardTest() { final Matrix[] activations = neuralNetwork.feedForward(input); assertTrue(expectedOutput.compare(activations[activations.length - 1], TOLERANCE)); assertTrue(MatrixUtils.compare(activations, expectedActivations, TOLERANCE)); }
@Test public void feedForwardTestForBatch() { final Matrix[] batchActivations = neuralNetwork.feedForward(batchInput); assertTrue(expectedBatchOutput.compare(batchActivations[batchActivations.length - 1], TOLERANCE)); assertTrue(MatrixUtils.compare(batchActivations, expectedBatchActivations, TOLERANCE)); }