Update mxnet_mnist.ipynb

Author: Ragav Venkatesan

sagemaker-python-sdk/mxnet_mnist/mxnet_mnist.ipynb

@@ -66,7 +66,7 @@
    "source": [
     "The SageMaker ```MXNet``` estimator allows us to run single machine or distributed training in SageMaker, using CPU or GPU-based instances.\n",
     "\n",
-    "When we create the estimator, we pass in the filename of our training script, the name of our IAM execution role, and the S3 locations we defined in the setup section. We also provide the a few other parameters. ``train_instance_count`` and ``train_instance_type`` determine the number and type of SageMaker instances that will be used for the training job. The ``hyperparameters`` parameter is a ``dict`` of values that will be passed to your training script -- you can see how to access these values in the ``mnist.py`` script above.\n",
+    "When we create the estimator, we pass in the filename of our training script, the name of our IAM execution role, and the S3 locations we defined in the setup section. We also provide a few other parameters. ``train_instance_count`` and ``train_instance_type`` determine the number and type of SageMaker instances that will be used for the training job. The ``hyperparameters`` parameter is a ``dict`` of values that will be passed to your training script -- you can see how to access these values in the ``mnist.py`` script above.\n",
     "\n",
     "For this example, we will choose one ``ml.m4.xlarge`` instance."
    ]