From the course: Amazon Web Services Machine Learning Essential Training
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Work with MXNet in SageMaker - Amazon Web Services (AWS) Tutorial
From the course: Amazon Web Services Machine Learning Essential Training
Work with MXNet in SageMaker
- [Instructor] Next, for comparison, in SageMaker in the sample notebooks, we're going to run the mnist sample using MXNet. So, again, it's going to be the similar kind of input dataset. It's the images. Handwritten digits. We have 70,000 of them. So, we need to define a few variables. And we're going to have to use a bucket for this. So let me get a bucket-name. Of course your bucket-name will differ, depending on which bucket you decide to put this in. So we've got two bucket locations. One to save the custom code in a tar format. And one where the results of the model training are going to be saved. And then we need an IAM role. And we're going to click in the cell and press Shift + Return to execute it. And then we're going to use a script as we did in the previous movie. So we're going to cat that script so we can read it. And we can see here we're using MXNet itself. We're not using Gluon. So it's a lower level. So we're loading data. We're finding the file. This is a key…
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Contents
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Understanding ML virtual servers4m 7s
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Understanding deep learning2m 36s
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Work with Gluon for MXNet in SageMaker5m 14s
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Work with MXNet in SageMaker9m 1s
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Databricks on AWS7m 2s
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Work with MXNet in Databricks9m 2s
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Set up the AWS Deep Learning AMIs6m 38s
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Work with the AWS Deep Learning AMI4m 16s
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Work with EMR for machine learning8m 40s
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