diff --git a/tf_2.x/lab-06-1-softmax_classifier-eager.ipynb b/tf_2.x/lab-06-1-softmax_classifier-eager.ipynb
index 08ff21e..2308602 100644
--- a/tf_2.x/lab-06-1-softmax_classifier-eager.ipynb
+++ b/tf_2.x/lab-06-1-softmax_classifier-eager.ipynb
@@ -368,9 +368,9 @@
     }
    ],
    "source": [
-    "class softmax_classifer(tf.keras.Model):\n",
+    "class softmax_classifier(tf.keras.Model):\n",
     "    def __init__(self, nb_classes):\n",
-    "        super(softmax_classifer, self).__init__()\n",
+    "        super(softmax_classifier, self).__init__()\n",
     "        self.W = tf.Variable(tf.random.normal((4, nb_classes)), name='weight')\n",
     "        self.b = tf.Variable(tf.random.normal((nb_classes,)), name='bias')\n",
     "        \n",
@@ -397,7 +397,7 @@
     "            if (i==0) | ((i+1)%verbose==0):\n",
     "                print('Loss at epoch %d: %f' %(i+1, self.cost_fn(X, Y).numpy()))\n",
     "            \n",
-    "model = softmax_classifer(nb_classes)\n",
+    "model = softmax_classifier(nb_classes)\n",
     "model.fit(x_data, y_data)"
    ]
   },