Loading a machine learning model with custom objects is an important element in the development process. This is even more significant when we are dealing with pre-processing functions, create custom layers, or any other custom objects in a model.
When a model makes use of custom layers or functions, it cannot be saved and loaded in the same way as a regular model because those custom-defined parts won’t be recognized. Not unless we explicitly tell our program what those custom parts are.
This process can be a bit challenging, but don’t worry! In this article, we will delve into the details of loading a model with custom objects in python using Keras.