message: Fix group convolution docstring
diff: @@ -86,7 +86,7 @@ class Conv(Layer):
  channels, and producing half the output channels, and both
  subsequently concatenated.
  - At `groups=input_channels`, each input channel is convolved with its
  - own set of filters, of size `input_channels / filters`
  + own set of filters, of size `filters / input_channels`
  activation: Activation function to use.
  If you don't specify anything, no activation is applied.
  use_bias: Boolean, whether the layer uses a bias.
  @@ -407,7 +407,7 @@ class Conv1D(Conv):
  channels, and producing half the output channels, and both
  subsequently concatenated.
  - At `groups=input_channels`, each input channel is convolved with its
  - own set of filters, of size `input_channels / filters`
  + own set of filters, of size `filters / input_channels`
  dilation_rate: an integer or tuple/list of a single integer, specifying
  the dilation rate to use for dilated convolution.
  Currently, specifying any `dilation_rate` value != 1 is
  @@ -569,7 +569,7 @@ class Conv2D(Conv):
  channels, and producing half the output channels, and both
  subsequently concatenated.
  - At `groups=input_channels`, each input channel is convolved with its
  - own set of filters, of size `input_channels / filters`
  + own set of filters, of size `filters / input_channels`
  activation: Activation function to use.
  If you don't specify anything, no activation is applied (
  see `keras.activations`).
  @@ -719,7 +719,7 @@ class Conv3D(Conv):
  channels, and producing half the output channels, and both
  subsequently concatenated.
  - At `groups=input_channels`, each input channel is convolved with its
  - own set of filters, of size `input_channels / filters`
  + own set of filters, of size `filters / input_channels`
  activation: Activation function to use.
  If you don't specify anything, no activation is applied (
  see `keras.activations`).
  