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MXNet Basic Classification (AWS SageMaker)

Hands-On Lab


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Training Architect





MXNet is a heavy hitter in the world of machine learning and artificial intelligence. In this activity, we will use MXNet along with Gluon to create an artificial neural network that performs a basic image classification task. In this lab, we use our own data set and get one step closer to the dream of an automated Lego brick sorting machine. The files used in this lab can be found on GitHub.

What are Hands-On Labs?

Hands-On Labs are scenario-based learning environments where learners can practice without consequences. Don't compromise a system or waste money on expensive downloads. Practice real-world skills without the real-world risk, no assembly required.