How to do an off-platform analysis of a classifier model
In this tutorial, you will apply transfer learning to solve a classification problem where the dataset has more than one hundred classes. The evaluation metrics on the Platform will indicate perfect validation metrics. But, as is often the case in machine learning, this does not necessarily mean that the model will always perform well on new data. For this reason, this tutorial will focus on methods that you can use outside the Platform to perform a more thorough analysis and further tune the performance.
Target audience: Data scientists and Developers
This tutorial requires that you are familiar with using Python and Jupyter notebook.