diff --git a/11_deep_learning.ipynb b/11_deep_learning.ipynb
index d470157..b0c4eec 100644
--- a/11_deep_learning.ipynb
+++ b/11_deep_learning.ipynb
@@ -643,7 +643,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Sometimes applying BN before the activation function works better (there's a debate on this topic):"
+    "Sometimes applying BN before the activation function works better (there's a debate on this topic). Moreover, the layer before a `BatchNormalization` layer does not need to have bias terms, since the `BatchNormalization` layer some as well, it would be a waste of parameters, so you can set `use_bias=False` when creating those layers:"
    ]
   },
   {
@@ -655,10 +655,10 @@
     "model = keras.models.Sequential([\n",
     "    keras.layers.Flatten(input_shape=[28, 28]),\n",
     "    keras.layers.BatchNormalization(),\n",
-    "    keras.layers.Dense(300),\n",
+    "    keras.layers.Dense(300, use_bias=False),\n",
     "    keras.layers.BatchNormalization(),\n",
     "    keras.layers.Activation(\"relu\"),\n",
-    "    keras.layers.Dense(100),\n",
+    "    keras.layers.Dense(100, use_bias=False),\n",
     "    keras.layers.Activation(\"relu\"),\n",
     "    keras.layers.BatchNormalization(),\n",
     "    keras.layers.Dense(10, activation=\"softmax\")\n",