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Keras to Kubernetes: 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 are seeing a particular growth in Machine Learning (ML) and Deep Learning (DL) applications. ML is all about learning relationships from labelled (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 will take readers through real-world examples by walking you through building a Keras model for detecting logos in images. You will then take that trained model and package it as a web application container. You will then learn how to deploy this model at scale on a Kubernetes cluster. All examples shown from this title will be made available so you may reuse these as-is to deploy your models.
Machine Learning with Keras and Kubernetes will take readers through real-world examples by walking you through building a Keras model for detecting logos in images. You will then take that trained model and package it as a web application container. You will then learn how to deploy this model at scale on a Kubernetes cluster. All examples shown from this title will be made available so you may reuse these as-is to deploy your models.
310 pages, Kindle Edition
Published April 16, 2019
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