From the course: Amazon Web Services Machine Learning Essential Training
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Set up the AWS Deep Learning AMIs - Amazon Web Services (AWS) Tutorial
From the course: Amazon Web Services Machine Learning Essential Training
Set up the AWS Deep Learning AMIs
- [Narrator] Next step we're going to look at AWS deep learning Amazon machine images running on EC2 or AMIs. And as mentioned previously the reason that these are so great to use is because they come pre-installed. There's three versions. Conda AMI that has preinstalled pip packages for deep learning such as TensorFlow, MXNet, Gluon, and many more. The base AMI which is a clean base image. And an AMI with source code so the deep learning packages and their source code. Now in addition to selecting the AWS deep learning AMI, typically when you're using EC2 you'll consider using GPUs or graphics processor units. And the reason for this is that most deep learning algorithms are optimized to take advantage of the parallelism available via GPUs. The chart shown here shows a performance analysis conducted by an independent group and there's a reference to the blog post. Showing the speed up in model training. It's really significant. To launch our instance we'll go to the console and click…
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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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