conv2d_transpose(x, filters, strides, padding, output_shape=None, data_format='NHWC', dilations=1, f=None)¶
Computes a 2-D transpose convolution given 4-D input x and filters arrays.
x (array) – Input image [batch_size,h,w,d_in].
filters (array) – Convolution filters [fh,fw,d_in,d_out].
strides (int or sequence of ints) – The stride of the sliding window for each dimension of input.
padding (string or sequence of ints) – “SAME” or “VALID” indicating the algorithm, or list indicating the per-dimension paddings.
output_shape (sequence of ints, needed for TensorFlow) – Shape of the output
data_format (string) – “NHWC” or “NCHW”. Defaults to “NHWC”.
dilations (int or sequence of ints) – The dilation factor for each dimension of input.
f (ml_framework, optional) – Machine learning library. Inferred from Inputs if None.
The result of the transpose convolution operation.