Core ML, Apple’s new foundational machine learning framework, is blazingly fast not to mention dead easy to incorporate in an app. To top that off Core ML boasts support for a broad variety of machine learning model types and provides a Python package to convert them. But how do you actually create and train a model to begin with?
Join us as we go step by step through the whole process:
Acquiring training data
Creating, training and optimising the model
Converting the model to Core ML and integrating it
Wiring Core ML to the Vision framework
To create a computer vision machine learning app.
Recorded and produced live by Stefan Völker.