From the course: Amazon Web Services Machine Learning Essential Training

Unlock the full course today

Join today to access over 22,400 courses taught by industry experts or purchase this course individually.

Work with MXNet in SageMaker

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

From the course: Amazon Web Services Machine Learning Essential Training

Start my 1-month free trial

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…

Contents