tf.keras.backend.local_conv2d

Apply 2D conv with un-shared weights.

Compat aliases for migration

See Migration guide for more details.

tf.keras.backend.local_conv2d(
    inputs, kernel, kernel_size, strides, output_shape, data_format=None
)

Arguments
`inputs`	4D tensor with shape: (batch_size, filters, new_rows, new_cols) if data_format='channels_first' or 4D tensor with shape: (batch_size, new_rows, new_cols, filters) if data_format='channels_last'.
`kernel`	the unshared weight for convolution, with shape (output_items, feature_dim, filters).
`kernel_size`	a tuple of 2 integers, specifying the width and height of the 2D convolution window.
`strides`	a tuple of 2 integers, specifying the strides of the convolution along the width and height.
`output_shape`	a tuple with (output_row, output_col).
`data_format`	the data format, channels_first or channels_last.

Returns
A 4D tensor with shape: (batch_size, filters, new_rows, new_cols) if data_format='channels_first' or 4D tensor with shape: (batch_size, new_rows, new_cols, filters) if data_format='channels_last'.

Arguments