From the course: Amazon Web Services Machine Learning Essential Training
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Work with MXNet in Databricks - Amazon Web Services (AWS) Tutorial
From the course: Amazon Web Services Machine Learning Essential Training
Work with MXNet in Databricks
- [Instructor] Now an important consideration as we get started working on our machine learning problem here with MXNet is that because Databricks is designed for production and MXNet is designed to work with GPUs, or graphics processor unit type processors, this notebook is optimized for GPUs. Now our cluster does not have GPUs on it, nor can you get a cluster with GPUs in the community edition, so there's one small change that I'm going to make so that we can actually just run this. It's not going to be optimally fast because it's designed for GPUs, but at least we can see the functionality here. We know the problem now, the handwritten digit recognition and what we're going to do is get the data, so we're downloading the data again, this is nothing really new. I'm just going to go ahead and run this now. This notebook is a little bit different. We can do the Shift + Return like a Jupyter Notebook or you can use this little run button or there's keyboard shortcuts as well, so I'm…
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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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