After studying Deep Learning, I found out that the best way to learn is to first write every learning algorithm by hand along with understanding it without using any framework or library. This will allow you to easily and quickly learn modern deep learning libraries / frameworks like Keras and Tensorflow and truly understand what is happening. This method will give you the power to create better A.I systems.
The main goal of this series of articles is to write a program that will learn from images using no libraries or frameworks.
In the first article I explain why DDD was important for building new modern systems that are modular in design. In this article I will explain how Event Storming as a practice in DDD can be used to identify the right decomposition and Microservices.
When using DDD we are on a trip for deep learning about how the business works, and then model the software based on our learning. It is important to align software domain models with what the domain experts had in mind. Event Storming is a process of learning, experimenting, and learning more and modeling again. I like to think of it as a way of iteratively learning from the unknown.