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3D convolution.
tf.keras.backend.conv3d(
x, kernel, strides=(1, 1, 1), padding='valid', data_format=None,
dilation_rate=(1, 1, 1)
)
x
: Tensor or variable.kernel
: kernel tensor.strides
: strides tuple.padding
: string, "same"
or "valid"
.data_format
: string, "channels_last"
or "channels_first"
.dilation_rate
: tuple of 3 integers.A tensor, result of 3D convolution.
ValueError
: if data_format
is neither channels_last
or
channels_first
.