Validation in Machine Learning


Machine Learning introduces unique challenges for software testing.  We will discuss several practices and tools specific to ML, including the ML Test Score best practices rubric, the TensorFlow Debugger, and a unit test framework for ML models.  Where available we reference open source solutions or published techniques.


Eric Breck – Google