diff --git a/Chapter8 - Intro to Regularization - Learning Signal and Ignoring Noise.ipynb b/Chapter8 - Intro to Regularization - Learning Signal and Ignoring Noise.ipynb
index 8aa7057..505a480 100644
--- a/Chapter8 - Intro to Regularization - Learning Signal and Ignoring Noise.ipynb	
+++ b/Chapter8 - Intro to Regularization - Learning Signal and Ignoring Noise.ipynb	
@@ -426,12 +426,12 @@
     "        for k in range(batch_size):\n",
     "            correct_cnt += int(np.argmax(layer_2[k:k+1]) == np.argmax(labels[batch_start+k:batch_start+k+1]))\n",
     "\n",
-    "            layer_2_delta = (labels[batch_start:batch_end]-layer_2)/batch_size\n",
-    "            layer_1_delta = layer_2_delta.dot(weights_1_2.T)* relu2deriv(layer_1)\n",
-    "            layer_1_delta *= dropout_mask\n",
+    "        layer_2_delta = (labels[batch_start:batch_end]-layer_2)\n",
+    "        layer_1_delta = layer_2_delta.dot(weights_1_2.T)* relu2deriv(layer_1)\n",
+    "        layer_1_delta *= dropout_mask\n",
     "\n",
-    "            weights_1_2 += alpha * layer_1.T.dot(layer_2_delta)\n",
-    "            weights_0_1 += alpha * layer_0.T.dot(layer_1_delta)\n",
+    "        weights_1_2 += alpha * layer_1.T.dot(layer_2_delta)\n",
+    "        weights_0_1 += alpha * layer_0.T.dot(layer_1_delta)\n",
     "            \n",
     "    if(j%10 == 0):\n",
     "        test_error = 0.0\n",
@@ -482,4 +482,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
+}
\ No newline at end of file