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3D Pooling.
tf.keras.backend.pool3d(
x, pool_size, strides=(1, 1, 1), padding='valid', data_format=None,
pool_mode='max'
)
x
: Tensor or variable.pool_size
: tuple of 3 integers.strides
: tuple of 3 integers.padding
: string, "same"
or "valid"
.data_format
: string, "channels_last"
or "channels_first"
.pool_mode
: string, "max"
or "avg"
.A tensor, result of 3D pooling.
ValueError
: if data_format
is neither "channels_last"
or
"channels_first"
.ValueError
: if pool_mode
is neither "max"
or "avg"
.