def test_masking_layer():
    model = Sequential()
    model.add(Masking(input_shape=(3, 4)))
    model.add(recurrent.LSTM(output_dim=5, return_sequences=True))
    model.compile(loss='categorical_crossentropy', optimizer='adam')
    I = np.random.random((6, 3, 4))
    V = np.abs(np.random.random((6, 3, 5)))
    V /= V.sum(axis=-1, keepdims=True)
    model.fit(I, V, nb_epoch=1, batch_size=100, verbose=1)
Creates an application package record.
dataset/ETHPy150Open fchollet/keras/tests/keras/layers/test_recurrent.py/test_masking_layer--crossover with--dataset/ETHPy150Open Azure/azure-sdk-for-python/azure-mgmt-batch/azure/mgmt/batch/operations/application_operations.py/ApplicationOperations.add_application_package