links

Author: EC2 Default User

sagemaker/part0_instructions.md

@@ -4,13 +4,13 @@ Using Amazon Sagemaker to ease training, evaluating, and deployment of MXNet mod
 ## 1. Model Research
 Define and train model as usual in Jupter Notebook to ensure it works.
 
-Please open part1\_model\_research notebook to begin.
+Please open [part1\_model\_research.ipynb] to begin.
 
 
 ## 2. Model Development for SageMaker
 Place model definition and training code into this [Sagemaker .py template](http://docs.aws.amazon.com/sagemaker/latest/dg/mxnet-training-inference-code-template.html).
 
-Refactor the training code from part1\_model\_research into this template.
+Refactor the training code from [part1\_model\_research] into this template.
 
 The primary change we will be making is to use MXNet's distributed training capabilities. For details, refer to [this guide](https://mxnet.incubator.apache.org/how_to/multi_devices.html).