While you can completely hand-build a continuous integration pipeline, it's still quite a bit of work. You need to get dedicated hardware to run deep learning training jobs, and that can bring up the costs. There are great alternatives available in the cloud. Google has a TensorFlow serving offer. Microsoft offers Azure Machine Learning service as a way to manage models. Both are great tools that we can highly recommend.
Let's take a look at Azure Machine Learning service to get a sense of what it can do for you when you want to set up a complete machine learning pipeline:
Azure Machine Learning service is a cloud service that offers a complete solution for every phase of your machine learning project. It has the concept of experiments, and runs that allow you to manage experiments. It features a model registry that...
