MCL310 - Building Deep Learning Applications with Apache MXNet and Gluon

1. Move to Oregon or N.Virginia

   http://console.aws.amazon.com/sagemaker

2. Create "Notebook Instance"

   1. Notebook Instance > "Create notebook instance"
   2. Fill out "Notebook instance name"
   3. Select "Notebook instance type" as ml.m4.xlarge
   4. Select "IAM role" as "Create New Role" Select "None" for S3 ... , and click "Create Role"
   5. Click on "Create notebook instance" at the bottom

3. Once it is created, click on "Open"

4. In the jupyter notebook, click on "New" > "Terminal"

5. In the terminal screen in the notebook, run

cd SageMaker
git clone https://github.com/madanvikram/deep_learning_workshop

6. Back to the original jupyter notebook, click on "re-load" button next to "New"

7. Click on "deep_learning_workshop"

8. If asked to choose a kernel, select "conda_mxnet_p36"