This book synthesizes of a broad array of research into a manageable and concise presentation, with practical examples and applications Show less Quantum Machine Learning bridges the gap between abstract developments in quantum computing and the applied research on machine learning..
The idea with this project is to create a simple, concise, potentially exhaustive document about the most common machine learning algorithms A cheatsheet one could come back to for a quick read, , The Machine Learning Cheatsheet is a 5-pages document that can be found on my github..
Apache MXNet is a fast and scalable training and inference framework with an easy-to-use, concise API for machine learning MXNet includes the Gluon interface that allows developers of all skill levels to get started with deep learning on the cloud, on edge devices, and on mobile apps..
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The Microsoft Azure Virtual Machine Agent (VM Agent) is a secure, lightweight process that manages virtual machine (VM) interaction with the Azure Fabric Controller The VM Agent has a primary role in enabling and executing Azure virtual machine extensions..
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Gunkel begins by addressing the question of machine moral agency: whether a machine might be considered a legitimate moral agent that could be held responsible for decisions and actions He then approaches the machine question from the other side, considering whether a machine might be a moral patient due legitimate moral consideration..
The ml5js library provides access to machine learning algorithms and models in the browser with a concise, approachable API Check out ml5js Are you looking to incorporate pre-trained models into your web-app? Check out tfjs-models, a collection of pre-built models that doesn't require deep knowledge of Tensors ...
Machine Perception Teaching machines to 'see' in a more human way Machine Perception gives a machine the ability to explain, in a human manner, why it is making its decisions, to warn when it is about to fail, and to provide an understandable characterization of its failur..
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