How a simple mix of object-oriented programming can sharpen your deep learning prototype

This post is not meant for seasoned software engineers. This is geared towards data scientists and machine learning (ML) practitioners, who like me, do not come from a software engineering background. We use Python a lot for our work. It is on the way to becoming the fastest growing major language for modern data-driven analytics and artificial intelligence (AI) apps. However, it is also used for simple scripting purpose, to automate stuff, to test a hypothesis, create interactive plots for brainstorming, to control lab instruments, etc.