NEURAL NETWORKING SYSTEM AND METHODS

摘要

A method/apparatus/system for generating a request for improvement of a data object in a neural network is described herein. The neural network contains a plurality of data objects each made of an aggregation of content. The data objects of the neural network are interconnected based on one or several skill levels embodied in the content of the data objects via a plurality of connecting vectors. These connecting vectors can be generated and/or modified based on data collected from the iterative transversal of the connecting vectors by one or several users of the neural network.

主权项

1. A machine learning system for generating a request for improvement of a data object in a neural network, the system comprising:
a supervisor device configured to edit one or several data objects in a neural network; a content management server configured to:
generate a plurality of connecting vectors between data objects via machine learning from binary indicators generated based on a user experience;continuously update the plurality of connecting vectors based on received data identifying successes and failures in traversing the plurality of connecting vectors;determine a deficiency in the content of at least one of the data objects based on the magnitude of an associated connecting vector;alert the supervisor device of the at least one of the data objects having a determined deficiency; andupdate the data packet with a received modification.