Wednesday, September 14, 9:00 AM - 4:00 PM
We'll start by exploring image classification and creating a model we can use to classify images users upload. We'll compare a few different image classification methods, run some experiments, and look at the metrics they give us. This will all happen within a DVC pipeline, which allows us to start using MLOps best practices to get our model to production. After we have a good model ready for our users, we'll deploy it to production through a Flask API and we'll create the user interface with React using all the best practices and styles that would make it production worthy. By the time you leave this workshop, you'll know how to train a machine learning model on different datasets, some basics of MLOps, and how to set up a full-stack application that uses this model.Speakers
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