Conv2DTranspose¶

__init__¶

Conv2DTranspose.__init__(
  filters,
  kernel_size,
  strides=1,
  padding='valid',
  output_padding=None,
  data_format=None,
  dilation_rate=1,
  activation=None,
  use_bias=True,
  kernel_initializer='glorot_uniform',
  bias_initializer='zeros',
  kernel_regularizer=None,
  bias_regularizer=None,
  **kwargs
)[source]¶

Create a Conv1DTranspose Layer.

Parameters:

• filters (int`) – The number of output filters.
• kernel_size (Union[int, Sequence[int]]) – The shape of convolution window.
• strides (Union[int, Sequence[int]], optional, default=1) – The stride of convolution window.
• padding (Union[str, Sequence[int]], optional) – The padding algorithm or size.
• output_padding (Sequence[int], optional) – The additional size added to the output shape.
• data_format (str, optional, default='channels_last') – 'channels_first' or 'channels_last'.
• dilation_rate (Union[int, Sequence[int]], optional, default=1) – The rate of dilated convolution.
• activation (Union[callable, str], optional) – The optional activation function.
• use_bias (bool, optional, default=True) – Add a bias tensor to output or not.
• kernel_initializer (Union[callable, str], optional) – The initializer for kernel tensor.
• bias_initializer (Union[callable, str], optional) – The initializer for bias tensor.
• kernel_regularizer (Union[callable, str], optional) – The regularizer for kernel tensor.
• bias_regularizer (Union[callable, str], optional) – The regularizer for bias tensor.