diff --git a/14_convolutional_neural_networks.ipynb b/14_convolutional_neural_networks.ipynb
index a14ec80..bbbfb33 100644
--- a/14_convolutional_neural_networks.ipynb
+++ b/14_convolutional_neural_networks.ipynb
@@ -588,8 +588,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "DefaultConv2D = partial(keras.layers.Conv2D,\n",
-    "                        kernel_size=3, strides=1, padding=\"SAME\")\n",
+    "DefaultConv2D = partial(keras.layers.Conv2D, kernel_size=3, strides=1,\n",
+    "                        padding=\"SAME\", use_bias=False)\n",
     "\n",
     "class ResidualUnit(keras.layers.Layer):\n",
     "    def __init__(self, filters, strides=1, activation=\"relu\", **kwargs):\n",
@@ -626,6 +626,8 @@
     "model = keras.models.Sequential()\n",
     "model.add(DefaultConv2D(64, kernel_size=7, strides=2,\n",
     "                        input_shape=[224, 224, 3]))\n",
+    "model.add(keras.layers.BatchNormalization())\n",
+    "model.add(keras.layers.Activation(\"relu\"))\n",
     "model.add(keras.layers.MaxPool2D(pool_size=3, strides=2, padding=\"SAME\"))\n",
     "prev_filters = 64\n",
     "for filters in [64] * 3 + [128] * 4 + [256] * 6 + [512] * 3:\n",