Summary
In this chapter, we covered a quick introduction to deep learning and the importance of having a lot of labeled data for the model to perform well. We then showed you how to use the Azure ML Data Labeling capability to assist with labeling image data to train an object detection model. We then showed you how to use AutoML to train an object detection model, and finally, you learned how to deploy your model to an online endpoint and score a test image, all using Azure ML.
In the next chapter, we will show you how to do distributed model training in Azure ML.
