The main motivation is to show how to conduct data science and machine learning projects and give a hands-on walk through on how to build and integrate machine learning service into software product with microservice oriented architecture.
You may find these articles useful, if you are software engineer working on machine learning project, or data scientist/machine learning engineer/data engineer considering ways to improve your work flow and your models delivery, or project manager trying to connect the dots and improve data product delivery process, or executive manager working towards employing data science and machine learning in your organisation.
Keras has many pros with the following among the others:
A husband, data scientist/engineer/team lead, XP practitioner, consultant and ML enthusiast with physics background. My passion is data driven products.