A reference Lambda function that predicts image labels for a image using a MXNet built deep learning model
This sample code is made available under a modified MIT license. See the LICENSE file.
A reference Lambda function that predicts image labels for a image using a MXNet built deep learning model
License: MIT No Attribution
Step 8- Create a lambda function
Navigate to lab 3 github link (https://github.com/aws-samples/reinvent-2017-deeplens-workshop/tree/master/lab%20session%203) or in S3 bucket here (paste link here)
Find the zipfile titled deeplens-squeezenet.zip
Download the zip file
hi
I am trying to execute lab3, and in Step 2, the instruction says in the Jupyter file that notebook should be pre-loaded into SageMaker (pls find the instructions below).
Issue: No notebooks are preloaded in the Sagemaker console.
Instructions found in Jupyter file for lab 3.
Step 2- Amazon SageMaker console
Visit https://console.aws.amazon.com/sagemaker/home?region=us-east-1#/dashboard to access Amazon SageMaker console
Make sure you are on US East (N. Virginia) region
Click on notebook instances
You will find a notebook instance pre-launched and running for you in the account. It is titled myWorkspace
Help needed
Can you pls either preload the notebook or help me with instructions to create the myworkspace notebook for executing lab 3.
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