Shortening model deployment with TensorFlow

How to make ML model deployment and serving easier with TensorFlow

Image generated by Stable Diffusion from prompt “Cool machine learning and AI stuff”.

Usually, for real-life machine learning applications, the end goal is to deploy the model in production to be used by customers. But for a system powered by a machine learning application, there is much more than just the model prediction, two other main steps are preprocessing and postprocessing.

Pre-processing is related to all steps preceding the …

deep learning deployment machine learning mlops model deployment tensorflow