From d1b6b77d5e8c6f925b407f3585ddfb17cb7702e1 Mon Sep 17 00:00:00 2001
From: Samuel Marks <807580+SamuelMarks@users.noreply.github.com>
Date: Wed, 12 Apr 2023 20:36:28 -0400
Subject: [PATCH 1/2] 
 [keras/layers/activation/leaky_relu.py,keras/layers/activation/relu.py,keras/layers/activation/softmax.py]
 Standardise docstring usage of "Default to"

---
 keras/layers/activation/leaky_relu.py |  2 +-
 keras/layers/activation/relu.py       | 10 +++++-----
 keras/layers/activation/softmax.py    |  5 +++--
 3 files changed, 9 insertions(+), 8 deletions(-)

diff --git a/keras/layers/activation/leaky_relu.py b/keras/layers/activation/leaky_relu.py
index 4e3217d5d5b..bc82ed5edc4 100644
--- a/keras/layers/activation/leaky_relu.py
+++ b/keras/layers/activation/leaky_relu.py
@@ -54,7 +54,7 @@ class LeakyReLU(Layer):
       Same shape as the input.
 
     Args:
-      alpha: Float >= 0. Negative slope coefficient. Default to 0.3.
+      alpha: Float >= 0. Negative slope coefficient. Defaults to `0.3`.
 
     """
 
diff --git a/keras/layers/activation/relu.py b/keras/layers/activation/relu.py
index a63e368cba5..58bb09d113b 100644
--- a/keras/layers/activation/relu.py
+++ b/keras/layers/activation/relu.py
@@ -65,11 +65,11 @@ class ReLU(Layer):
       Same shape as the input.
 
     Args:
-      max_value: Float >= 0. Maximum activation value. Default to None, which
-        means unlimited.
-      negative_slope: Float >= 0. Negative slope coefficient. Default to 0.
-      threshold: Float >= 0. Threshold value for thresholded activation. Default
-        to 0.
+      max_value: Float >= 0. Maximum activation value. None means unlimited.
+        Defaults to `None`.
+      negative_slope: Float >= 0. Negative slope coefficient. Defaults to `0.`.
+      threshold: Float >= 0. Threshold value for thresholded activation.
+        Defaults to `0.`.
     """
 
     def __init__(
diff --git a/keras/layers/activation/softmax.py b/keras/layers/activation/softmax.py
index d1c0e04aca9..cc9e86e544a 100644
--- a/keras/layers/activation/softmax.py
+++ b/keras/layers/activation/softmax.py
@@ -72,8 +72,9 @@ class Softmax(Layer):
         normalization is applied.
     Call arguments:
       inputs: The inputs, or logits to the softmax layer.
-      mask: A boolean mask of the same shape as `inputs`. Defaults to `None`.
-        The mask specifies 1 to keep and 0 to mask.
+      mask: A boolean mask of the same shape as `inputs`. The mask
+        specifies 1 to keep and 0 to mask. Defaults to `None`.
+
 
     Returns:
       softmaxed output with the same shape as `inputs`.

From 46449dca70b6cdc164097e073c6b6359a8dba47d Mon Sep 17 00:00:00 2001
From: Samuel Marks <807580+SamuelMarks@users.noreply.github.com>
Date: Wed, 19 Apr 2023 22:43:03 -0400
Subject: [PATCH 2/2] [keras/layers/activation/relu.py] Use backticks for
 defaults in docstrings

---
 keras/layers/activation/relu.py | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/keras/layers/activation/relu.py b/keras/layers/activation/relu.py
index 58bb09d113b..0065bc4a98d 100644
--- a/keras/layers/activation/relu.py
+++ b/keras/layers/activation/relu.py
@@ -65,10 +65,10 @@ class ReLU(Layer):
       Same shape as the input.
 
     Args:
-      max_value: Float >= 0. Maximum activation value. None means unlimited.
+      max_value: Float >= `0.`. Maximum activation value. `None` means unlimited.
         Defaults to `None`.
-      negative_slope: Float >= 0. Negative slope coefficient. Defaults to `0.`.
-      threshold: Float >= 0. Threshold value for thresholded activation.
+      negative_slope: Float >= `0.`. Negative slope coefficient. Defaults to `0.`.
+      threshold: Float >= `0.`. Threshold value for thresholded activation.
         Defaults to `0.`.
     """