tf.keras.backend.conv3d(
x,
kernel,
strides=(1, 1, 1),
padding='valid',
data_format=None,
dilation_rate=(1, 1, 1)
)
Defined in tensorflow/python/keras/backend.py.
3D convolution.
Arguments:
x: Tensor or variable.kernel: kernel tensor.strides: strides tuple.padding: string,"same"or"valid".data_format: string,"channels_last"or"channels_first". Whether to use Theano or TensorFlow/CNTK data format for inputs/kernels/outputs.dilation_rate: tuple of 3 integers.
Returns:
A tensor, result of 3D convolution.
Raises:
ValueError: ifdata_formatis neitherchannels_lastorchannels_first.