tf.keras.backend.conv2d_transpose

tf.keras.backend.conv2d_transpose(
    x,
    kernel,
    output_shape,
    strides=(1, 1),
    padding='valid',
    data_format=None
)

Defined in tensorflow/python/keras/backend.py.

2D deconvolution (i.e.

transposed convolution).

Arguments:

  • x: Tensor or variable.
  • kernel: kernel tensor.
  • output_shape: 1D int tensor for the output shape.
  • 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.

Returns:

A tensor, result of transposed 2D convolution.

Raises:

  • ValueError: if data_format is neither channels_last or channels_first.