Create a predictive system for image classification using deep learning as a service

In this pattern, learn how to create and deploy deep learning models by using a Jupyter Notebook in an IBM Watson Studio environment. You also create deep learning experiments with hyperparameters optimization by using a Watson Studio GUI for monitoring different runs, then select the best model for deployment. Computer vision is on the rise, and there might be scenarios where a machine must classify images based on their class to aid in the decision-making process. In this code pattern, we demonstrate how to do multiclass classification (with three classes) by using IBM Watson Studio and IBM Deep Learning as a Service. We use yoga postures data to identify the class given an image.