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README.md

Deep learning with Apache MXNet - AIM403-R

Step 1: Login in your provided AWS account

Use the credentials provided by the organizers to login your account

Step 2: Sit back and relax

While the instance is getting launched we're going to give you a primer on SageMaker and the workshop objectives!

Step 3: Navigate to your notebook instance

  1. Navigate to: Services > Amazon SageMaker > Notebook Instances

  2. Click: "Open Jupyter" and DO NOT click "Open Jupyterlab", we're using the old jupyter notebook to allow a cool demo at the end to run directly in the browser.

Step 4: Open vegas_dice_notebook.ipynb

Follow the instructions from then on, as a recap:

  • Creation of a SageMaker GroundTruth job and labeling of a sample of 5 images
  • Data exploration of the output of a SageMaker GroundTruth job
  • Training and hyper-parameter tuning of an object detection model
  • Deployment and testing of a trained model on SageMaker end points

Have fun and get building!

Screen Shot 2019-12-02 at 2 35 19 PM

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