Saving and Loading Keras model

How can you share a deep learning model you trained that is giving awesome results with other team members working in a different part of the world or How to save a deep learning model and it's trained weights during or after training or How to resume training of a model from where you left off? Sharing the saved files will allow others to recreate the model to make inferences or to resume further training from you left off. The model can be recreated by loading the model, and it's trained weight from the saved files containing the model architecture and the pre-trained weights. In this article, you will learn how to save a deep learning model developed in Keras to JSON or YAML file format and then reload the model. To save the model, we first create a basic deep learning model.