[keras/layers/convolutional] Standardise docstring usage of "Default to"

keras/layers/convolutional/base_depthwise_conv.py

@@ -65,10 +65,10 @@ class DepthwiseConv(Conv):
         `channels_first`.  The ordering of the dimensions in the inputs.
         `channels_last` corresponds to inputs with shape `(batch_size, height,
         width, channels)` while `channels_first` corresponds to inputs with
-        shape `(batch_size, channels, height, width)`. It defaults to the
-        `image_data_format` value found in your Keras config file at
-        `~/.keras/keras.json`. If you never set it, then it will be
-        'channels_last'.
+        shape `(batch_size, channels, height, width)`. If left unspecified,
+        uses `image_data_format` value found in your Keras config file at
+        `~/.keras/keras.json` (if exists) else 'channels_last'.
+        Defaults to 'channels_last'.
       dilation_rate: An integer or tuple/list of 2 integers, specifying the
         dilation rate to use for dilated convolution. Currently, specifying any
         `dilation_rate` value != 1 is incompatible with specifying any `strides`

keras/layers/convolutional/conv1d_transpose.py

@@ -54,7 +54,7 @@ class Conv1DTranspose(Conv1D):
       kernel_size: An integer length of the 1D convolution window.
       strides: An integer specifying the stride of the convolution along the
         time dimension. Specifying a stride value != 1 is incompatible with
-        specifying a `dilation_rate` value != 1. Defaults to 1.
+        specifying a `dilation_rate` value != 1. Defaults to `1`.
       padding: one of `"valid"` or `"same"` (case-insensitive).
         `"valid"` means no padding. `"same"` results in padding with zeros
         evenly to the left/right or up/down of the input such that output has

keras/layers/convolutional/conv2d.py

@@ -101,11 +101,11 @@ class Conv2D(Conv):
         `channels_first`.  The ordering of the dimensions in the inputs.
         `channels_last` corresponds to inputs with shape `(batch_size, height,
         width, channels)` while `channels_first` corresponds to inputs with
-        shape `(batch_size, channels, height, width)`. It defaults to the
-        `image_data_format` value found in your Keras config file at
-        `~/.keras/keras.json`. If you never set it, then it will be
-        `channels_last`. Note that the `channels_first` format is currently not
-        supported by TensorFlow on CPU.
+        shape `(batch_size, channels, height, width)`. If left unspecified, it
+        uses the `image_data_format` value found in your Keras config file at
+        `~/.keras/keras.json` (if exists) else 'channels_last'.
+        Note that the `channels_first` format is currently not
+        supported by TensorFlow on CPU. Defaults to 'channels_last'.
       dilation_rate: an integer or tuple/list of 2 integers, specifying the
         dilation rate to use for dilated convolution. Can be a single integer to
         specify the same value for all spatial dimensions. Currently, specifying

keras/layers/convolutional/conv2d_transpose.py

@@ -82,9 +82,9 @@ class Conv2DTranspose(Conv2D):
         `(batch_size, height, width, channels)` while `channels_first`
         corresponds to inputs with shape
         `(batch_size, channels, height, width)`.
-        It defaults to the `image_data_format` value found in your
-        Keras config file at `~/.keras/keras.json`.
-        If you never set it, then it will be "channels_last".
+        When unspecified, uses `image_data_format` value found in your Keras
+        config file at `~/.keras/keras.json` (if exists) else 'channels_last'.
+        Defaults to "channels_last".
       dilation_rate: an integer, specifying the dilation rate for all spatial
         dimensions for dilated convolution. Specifying different dilation rates
         for different dimensions is not supported.

keras/layers/convolutional/conv3d.py

@@ -83,11 +83,11 @@ class Conv3D(Conv):
         `channels_last` corresponds to inputs with shape `batch_shape +
         (spatial_dim1, spatial_dim2, spatial_dim3, channels)` while
         `channels_first` corresponds to inputs with shape `batch_shape +
-        (channels, spatial_dim1, spatial_dim2, spatial_dim3)`. It defaults to
-        the `image_data_format` value found in your Keras config file at
-        `~/.keras/keras.json`. If you never set it, then it will be
-        "channels_last". Note that the `channels_first` format is currently not
-        supported by TensorFlow on CPU.
+        (channels, spatial_dim1, spatial_dim2, spatial_dim3)`. When unspecified,
+        uses `image_data_format` value found in your Keras config file at
+        `~/.keras/keras.json` (if exists) else 'channels_last'. Note that the
+        `channels_first` format is currently not supported by TensorFlow on CPU.
+        Defaults to 'channels_last'.
       dilation_rate: an integer or tuple/list of 3 integers, specifying the
         dilation rate to use for dilated convolution. Can be a single integer to
         specify the same value for all spatial dimensions. Currently, specifying

keras/layers/convolutional/conv3d_transpose.py

@@ -82,9 +82,9 @@ class Conv3DTranspose(Conv3D):
         `(batch_size, depth, height, width, channels)` while `channels_first`
         corresponds to inputs with shape
         `(batch_size, channels, depth, height, width)`.
-        It defaults to the `image_data_format` value found in your
-        Keras config file at `~/.keras/keras.json`.
-        If you never set it, then it will be "channels_last".
+        When unspecified, uses `image_data_format` value found in your Keras
+        config file at `~/.keras/keras.json` (if exists) else 'channels_last'.
+        Defaults to 'channels_last'.
       dilation_rate: an integer or tuple/list of 3 integers, specifying
         the dilation rate to use for dilated convolution.
         Can be a single integer to specify the same value for

keras/layers/convolutional/depthwise_conv1d.py

@@ -67,10 +67,10 @@ class DepthwiseConv1D(DepthwiseConv):
         `channels_first`.  The ordering of the dimensions in the inputs.
         `channels_last` corresponds to inputs with shape `(batch_size, height,
         width, channels)` while `channels_first` corresponds to inputs with
-        shape `(batch_size, channels, height, width)`. It defaults to the
+        shape `(batch_size, channels, height, width)`. When unspecified, uses
         `image_data_format` value found in your Keras config file at
-        `~/.keras/keras.json`. If you never set it, then it will be
-        'channels_last'.
+        `~/.keras/keras.json` (if exists) else 'channels_last'.
+        Defaults to 'channels_last'.
       dilation_rate: A single integer, specifying the dilation rate to use for
         dilated convolution. Currently, specifying any `dilation_rate`
         value != 1 is incompatible with specifying any stride value != 1.

keras/layers/convolutional/depthwise_conv2d.py

@@ -68,10 +68,10 @@ class DepthwiseConv2D(DepthwiseConv):
         `channels_first`. The ordering of the dimensions in the inputs.
         `channels_last` corresponds to inputs with shape `(batch_size, height,
         width, channels)` while `channels_first` corresponds to inputs with
-        shape `(batch_size, channels, height, width)`. It defaults to the
+        shape `(batch_size, channels, height, width)`. When unspecified, uses
         `image_data_format` value found in your Keras config file at
-        `~/.keras/keras.json`. If you never set it, then it will be
-        'channels_last'.
+         `~/.keras/keras.json` (if exists) else 'channels_last'.
+        Defaults to 'channels_last'.
       dilation_rate: An integer or tuple/list of 2 integers, specifying the
         dilation rate to use for dilated convolution. Currently, specifying any
         `dilation_rate` value != 1 is incompatible with specifying any `strides`

keras/layers/convolutional/separable_conv2d.py

@@ -70,9 +70,9 @@ class SeparableConv2D(SeparableConv):
         `(batch_size, height, width, channels)` while `channels_first`
         corresponds to inputs with shape
         `(batch_size, channels, height, width)`.
-        It defaults to the `image_data_format` value found in your
-        Keras config file at `~/.keras/keras.json`.
-        If you never set it, then it will be "channels_last".
+        When unspecified, uses `image_data_format` value found in your Keras
+        config file at `~/.keras/keras.json` (if exists) else 'channels_last'.
+        Defaults to 'channels_last'.
       dilation_rate: An integer or tuple/list of 2 integers, specifying
         the dilation rate to use for dilated convolution.
       depth_multiplier: The number of depthwise convolution output channels