Answers for "keras maxpooling1d"

keras.layers.MaxPool2D

tf.keras.layers.MaxPool2D(
					pool_size=(2, 2),
					strides=None, padding='valid',
                    data_format=None,    **kwargs )

keras maxpooling1d

tf.keras.layers.MaxPooling1D(
    pool_size=2,
    strides=None,
    padding="valid",
    data_format="channels_last",
    **kwargs
)