Description: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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Keras to Kubernetes: The Journey of a Machine Learning Model to Production. To get started finding Keras to Kubernetes: The Journey of a Machine Learning Model to Production, you are right to find our website which has a comprehensive collection of manuals listed. Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
493
Format
PDF, EPUB & Kindle Edition
Publisher
N/A
Release
N/A
ISBN
1119564832
Keras to Kubernetes: The Journey of a Machine Learning Model to Production
Description: 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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Keras to Kubernetes: The Journey of a Machine Learning Model to Production. To get started finding Keras to Kubernetes: The Journey of a Machine Learning Model to Production, you are right to find our website which has a comprehensive collection of manuals listed. Our library is the biggest of these that have literally hundreds of thousands of different products represented.