notes on gpu/cpu changes.

Author: Ragav Venkatesan

advanced_functionality/mxnet_mnist_byom/mxnet_mnist.ipynb

@@ -98,7 +98,7 @@
    "source": [
     "### Training\n",
     "\n",
-    "It is time to train the network. Since we are training the network locally, we can make use of mxnet training tools. The training method is also in the accompanying [mnist.py](mnist.py) file. The method is shown below. \n",
+    "It is time to train the network. Since we are training the network locally, we can make use of mxnet training tools. The training method is also in the accompanying [mnist.py](mnist.py) file. The notebook assumes that this instance is a `p2.xlarge`. If running this in a non-GPU notebook instance, please adjust num_gpus=0 and num_cpu=1 The method is shown below. \n",
     "\n",
     "```python \n",
     "def train(data, hyperparameters= {'learning_rate': 0.11}, num_cpus=0, num_gpus =1 , **kwargs):\n",