Update 6_3_Stochastic_Gradient_Descent.ipynb

Notebooks/Chap06/6_3_Stochastic_Gradient_Descent.ipynb

@@ -518,7 +518,7 @@
         "  # at each step\n",
         "  # You can use the function np.random.permutation to generate a random permutation of the n_data = data.shape[1] indices\n",
         "  # and then just choose the first n=batch_size of these indices.  Then compute the gradient update\n",
-        "  # from just the data with these indices.   More properly, you should sample with replacement, but this will do for now.\n",
+        "  # from just the data with these indices.   More properly, you should sample without replacement, but this will do for now.\n",
         "\n",
         "\n",
         "  return phi"
@@ -583,4 +583,4 @@
       "outputs": []
     }
   ]
-}
+}