Update dlnd_face_generation.ipynb

sebastianstock · Jun 4, 2017 · aebcf3e · aebcf3e
1 parent ce4b157
commit aebcf3e
Showing 1 changed file with 3 additions and 3 deletions.
diff --git a/face_generation/dlnd_face_generation.ipynb b/face_generation/dlnd_face_generation.ipynb
@@ -218,7 +218,7 @@
    },
    "source": [
     "### Discriminator\n",
-    "Implement `discriminator` to create a discriminator neural network that discriminates on `images`.  This function should be able to reuse the variabes in the neural network.  Use [`tf.variable_scope`](https://www.tensorflow.org/api_docs/python/tf/variable_scope) with a scope name of \"discriminator\" to allow the variables to be reused.  The function should return a tuple of (tensor output of the discriminator, tensor logits of the discriminator)."
+    "Implement `discriminator` to create a discriminator neural network that discriminates on `images`.  This function should be able to reuse the variables in the neural network.  Use [`tf.variable_scope`](https://www.tensorflow.org/api_docs/python/tf/variable_scope) with a scope name of \"discriminator\" to allow the variables to be reused.  The function should return a tuple of (tensor output of the discriminator, tensor logits of the discriminator)."
    ]
   },
   {
@@ -234,7 +234,7 @@
     "def discriminator(images, reuse=False):\n",
     "    \"\"\"\n",
     "    Create the discriminator network\n",
-    "    :param image: Tensor of input image(s)\n",
+    "    :param images: Tensor of input image(s)\n",
     "    :param reuse: Boolean if the weights should be reused\n",
     "    :return: Tuple of (tensor output of the discriminator, tensor logits of the discriminator)\n",
     "    \"\"\"\n",
@@ -257,7 +257,7 @@
    },
    "source": [
     "### Generator\n",
-    "Implement `generator` to generate an image using `z`. This function should be able to reuse the variabes in the neural network.  Use [`tf.variable_scope`](https://www.tensorflow.org/api_docs/python/tf/variable_scope) with a scope name of \"generator\" to allow the variables to be reused. The function should return the generated 28 x 28 x `out_channel_dim` images."
+    "Implement `generator` to generate an image using `z`. This function should be able to reuse the variables in the neural network.  Use [`tf.variable_scope`](https://www.tensorflow.org/api_docs/python/tf/variable_scope) with a scope name of \"generator\" to allow the variables to be reused. The function should return the generated 28 x 28 x `out_channel_dim` images."
    ]
   },
   {