From e5451e521b78005de77b4c17b8091491d7b5fd45 Mon Sep 17 00:00:00 2001
From: LakshmiKalaKadali <149650845+LakshmiKalaKadali@users.noreply.github.com>
Date: Thu, 24 Oct 2024 22:35:28 +0530
Subject: [PATCH] Fixed the Value error in Example from activation.py

Passing Python list directly to the keras layer object in Example from activation.py is throwing Value error.  Fixed the error by passing tensor as a input. Here is the [gist](https://colab.sandbox.google.com/gist/LakshmiKalaKadali/caefd982bfff4ff6c4139784236c3a17/quickstart_colab.ipynb#scrollTo=F3hV2zfCb7Nu).

Thank You
---
 keras/src/layers/activations/activation.py | 8 ++++++--
 1 file changed, 6 insertions(+), 2 deletions(-)

diff --git a/keras/src/layers/activations/activation.py b/keras/src/layers/activations/activation.py
index c30e640823a..7a63b710c4c 100644
--- a/keras/src/layers/activations/activation.py
+++ b/keras/src/layers/activations/activation.py
@@ -15,10 +15,14 @@ class Activation(Layer):
     Example:
 
     >>> layer = keras.layers.Activation('relu')
-    >>> layer([-3.0, -1.0, 0.0, 2.0])
+    >>> input_data = np.array([-3.0, -1.0, 0.0, 2.0])  
+    >>> result = layer(input_data)  
+    >>> print(result)
     [0.0, 0.0, 0.0, 2.0]
     >>> layer = keras.layers.Activation(keras.activations.relu)
-    >>> layer([-3.0, -1.0, 0.0, 2.0])
+    >>> input_data = np.array([-3.0, -1.0, 0.0, 2.0])  
+    >>> result = layer(input_data) 
+    >>> print(result)
     [0.0, 0.0, 0.0, 2.0]
     """