Summary
We have covered a lot of topics in this chapter. We learned how to create code to distribute PyTorch and TensorFlow deep learning models using the Azure Machine Learning service’s Python SDK. We also saw how easy and seamless it is to build code that performs in a timely fashion by distributing the model training with large volumes of data.
The goal of this chapter was to show you how to build seamless code that can execute large-scale models via batch processing without you having to watch them run. The Azure Machine Learning SDK allows us to submit the job and then come back later and check the output.
This is the last chapter of this book; I hope you had an amazing time reading and learning about Azure Machine Learning and how to build machine learning models. We would like to hear about your experience in applying machine learning or deep learning in your organization. Azure Machine Learning will make your journey simple and easy with open source in mind.
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