From the course: Amazon Web Services Machine Learning Essential Training

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Work with Gluon for MXNet in SageMaker

Work with Gluon for MXNet in SageMaker - Amazon Web Services (AWS) Tutorial

From the course: Amazon Web Services Machine Learning Essential Training

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Work with Gluon for MXNet in SageMaker

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- [Instructor] In order better understand deep learning, we're actually going to jump back into the world of SageMaker, and look at a sample notebook. We're going to click on sagemaker-python-sdk, and we're going to click on mxnet_gluon_mnist... and open up the notebook. So this is our same example that we used earlier, but with a different type of an algorithm, and I think this is great for comparison, so you can either review, or think about when we worked with the K-means algorithm, and you can contrast that in working with MXNet, which is one of the many popular deep learning algorithms. Now we have a little bit different flavor to this, because there is a lot of complexity to working with this, Amazon has actually written a language called Gluon, which is a higher level language, which reduces the amount of code that you have to write to work with a deep learning network. So we're going to start with our example with Gluon, and then subsequently we're going to look at the more…

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