change random.normal to random.uniform

examples/generative/ipynb/wgan_gp.ipynb

@@ -10,7 +10,7 @@
     "\n",
     "**Author:** [A_K_Nain](https://twitter.com/A_K_Nain)<br>\n",
     "**Date created:** 2020/05/9<br>\n",
-    "**Last modified:** 2020/05/9<br>\n",
+    "**Last modified:** 2023/08/3<br>\n",
     "**Description:** Implementation of Wasserstein GAN with Gradient Penalty."
    ]
   },
@@ -351,7 +351,7 @@
     "        and added to the discriminator loss.\n",
     "        \"\"\"\n",
     "        # Get the interpolated image\n",
-    "        alpha = tf.random.normal([batch_size, 1, 1, 1], 0.0, 1.0)\n",
+    "        alpha = tf.random.uniform([batch_size, 1, 1, 1], 0.0, 1.0)\n",
     "        diff = fake_images - real_images\n",
     "        interpolated = real_images + alpha * diff\n",
     "\n",