tf.compat.v1.layers.conv3d_transpose

Functional interface for transposed 3D convolution layer.

inputs Input tensor.
filters Integer, the dimensionality of the output space (i.e. the number of filters in the convolution).
kernel_size A tuple or list of 3 positive integers specifying the spatial dimensions of the filters. Can be a single integer to specify the same value for all spatial dimensions.
strides A tuple or list of 3 positive integers specifying the strides of the convolution. Can be a single integer to specify the same value for all spatial dimensions.
padding one of "valid" or "same" (case-insensitive). "valid" means no padding. "same" results in padding evenly to the left/right or up/down of the input such that output has the same height/width dimension as the input.
data_format A string, one of channels_last (default) or channels_first. The ordering of the dimensions in the inputs. channels_last corresponds to inputs with shape (batch, depth, height, width, channels) while channels_first corresponds to inputs with shape (batch, channels, depth, height, width).
activation Activation function. Set it to None to maintain a linear activation.