The Journey of a Machine Learning Model to Production
We have seen an exponential growth in the use of Artificial Intelligence (AI) over last few years. AI is becoming the new electricity and is touching every industry from retail to manufacturing to healthcare to entertainment. Within AI, we’re seeing a particular growth in Machine Learning (ML) and Deep Learning (DL) applications. ML is all about learning relationships from labeled (Supervised) or unlabeled data (Unsupervised). DL has many layers of learning and can extract patterns from unstructured data like images, video, audio, etc. Machine Learning with Keras and Kubernetes takes you through real-world examples of building a Keras model for detecting logos in images. You will then take that trained model and package it as a web application container before learning how to deploy this model at scale on a Kubernetes cluster.