Difference between revisions of "AI Marketplace & Toolkit/Model Interoperability"

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[http://www.google.com/search?q=Open+Neural+Network+Exchange+ONNX+deep+machine+learning+ML ...Google search]
 
[http://www.google.com/search?q=Open+Neural+Network+Exchange+ONNX+deep+machine+learning+ML ...Google search]
  
* [http://onnx.ai/ ONNX.ai] - a community project created by Facebook and Microsoft.
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* [http://onnx.ai/ ONNX.ai] - a community project created by [[Facebook]] and [[Microsoft]].
  
Open ecosystem to address the interoperability among neural network toolkits challenge, AWS, Facebook and Microsoft have collaborated to build Open Neural Network Exchange (ONNX), which makes it possible to reuse trained neural network models across multiple frameworks.
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Open ecosystem to address the interoperability among neural network toolkits challenge, [[Amazon]] AWS, [[Facebook]] and [[Microsoft]] have collaborated to build Open Neural Network Exchange (ONNX), which makes it possible to reuse trained neural network models across multiple frameworks.
  
 
<youtube>j0FRbIycX94</youtube>
 
<youtube>j0FRbIycX94</youtube>
 
<youtube>daYr4tpncFo</youtube>
 
<youtube>daYr4tpncFo</youtube>

Revision as of 13:01, 25 August 2020

YouTube search... ...Google search

SingularityNET

YouTube search... ...Google search

OpenCog AtomSpace

YouTube search... ...Google search

A methodological framework: develop a representation of a general class of architectures within which different architectures can be compared and contrasted. This should facilitate communication and integration across sub-fields of and approaches to AI, as well providing a framework for evaluating alternative architectures. A Framework for Comparing Agent Architectures | Sloman, A. and Scheutz, M.

Aigents

YouTube search... ...Google search

Open Neural Network Exchange (ONNX) Format

YouTube search... ...Google search

Open ecosystem to address the interoperability among neural network toolkits challenge, Amazon AWS, Facebook and Microsoft have collaborated to build Open Neural Network Exchange (ONNX), which makes it possible to reuse trained neural network models across multiple frameworks.