tf.keras.backend.conv2d_transpose

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

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.
• dilation_rate: Tuple of 2 integers.

Returns:

A tensor, result of transposed 2D convolution.

Raises:

• ValueError: if data_format is neither channels_last or channels_first.