Overview
Build a Keras model to scale and deploy on a Kubernetes cluster
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, weļæ½re 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.Ā
Keras to Kubernetes: The Journey of a Machine Learning Model to ProductionĀ takes you through real-world examples of building DL models in Keras for recognizing product logos in images and extracting sentiment from text. 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. You will understand the different practical steps involved in real-world ML implementations which go beyond the algorithms.
ĀĀ Ā Ā Find hands-on learning examplesĀ
ĀĀ Ā Ā Learn to uses Keras and Kubernetes to deploy Machine Learning models
ĀĀ Ā Ā Discover new ways to collect and manage your image and text data with Machine Learning
ĀĀ Ā Reuse examples as-is to deploy your models
ĀĀ Ā Understand the ML model development lifecycle and deployment to production
If youļæ½re ready to learn about one of the most popular DL frameworks and build production applications with it, youļæ½ve come to the right place!
This book title, Keras to Kubernetes (The Journey of a Machine Learning Model to Production), ISBN: 9781119564836, by Dattaraj Rao, published by Wiley (May 7, 2019) is available in paperback. Our minimum order quantity is 25 copies. All standard bulk book orders ship FREE in the continental USA and delivered in 4-10 business days.
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