View source for 17738931. SYSTEM AND METHOD FOR TRAINING A NEURAL NETWORK UNDER PERFORMANCE AND HARDWARE CONSTRAINTS simplified abstract (Samsung Electronics Co., Ltd.)

=SYSTEM AND METHOD FOR TRAINING A NEURAL NETWORK UNDER PERFORMANCE AND HARDWARE CONSTRAINTS=


==Organization Name==

[[:Category:Samsung Electronics Co., Ltd.|Samsung Electronics Co., Ltd.]]


[[Category:Samsung Electronics Co., Ltd.]]

==Inventor(s)==

[[:Category:Li Yang of Tempe AZ (US)|Li Yang of Tempe AZ (US)]][[Category:Li Yang of Tempe AZ (US)]]

[[:Category:Jun Fang of Santa Clara CA (US)|Jun Fang of Santa Clara CA (US)]][[Category:Jun Fang of Santa Clara CA (US)]]

[[:Category:David Philip Lloyd Thorsley of Morgan Hill CA (US)|David Philip Lloyd Thorsley of Morgan Hill CA (US)]][[Category:David Philip Lloyd Thorsley of Morgan Hill CA (US)]]

[[:Category:Joseph H. Hassoun of Los Gatos CA (US)|Joseph H. Hassoun of Los Gatos CA (US)]][[Category:Joseph H. Hassoun of Los Gatos CA (US)]]

[[:Category:Hamzah Ahmed Ali Abdelaziz of San Jose CA (US)|Hamzah Ahmed Ali Abdelaziz of San Jose CA (US)]][[Category:Hamzah Ahmed Ali Abdelaziz of San Jose CA (US)]]

==SYSTEM AND METHOD FOR TRAINING A NEURAL NETWORK UNDER PERFORMANCE AND HARDWARE CONSTRAINTS - A simplified explanation of the abstract==


This abstract first appeared for US patent application 17738931 titled 'SYSTEM AND METHOD FOR TRAINING A NEURAL NETWORK UNDER PERFORMANCE AND HARDWARE CONSTRAINTS

==Simplified Explanation==

The abstract describes a system and method for training a neural network. It involves training a full-sized network and multiple sub-networks through supervised co-training iterations. Each iteration includes co-training the full-sized network with a subset of the sub-networks.

* The method involves training a full-sized network and multiple sub-networks.
* Supervised co-training is performed through multiple iterations.
* Each iteration includes co-training the full-sized network and a subset of the sub-networks.

== Potential Applications ==
This technology has potential applications in various fields, including:

* Artificial intelligence
* Machine learning
* Pattern recognition
* Data analysis

== Problems Solved ==
The system and method addressed the following problems:

* Training a neural network efficiently
* Enhancing the performance of the neural network
* Improving the accuracy of the network's predictions

== Benefits ==
The benefits of this technology include:

* Improved training efficiency
* Enhanced performance of the neural network
* Increased accuracy in predictions


==Original Abstract Submitted==

A system and method for training a neural network. In some embodiments the method includes training a full-sized network and a plurality of sub-networks, the training including performing a plurality of iterations of supervised co-training, the performing of each iteration including co-training the full-sized network and a subset of the sub-networks.



[[Category:G06N3/08]]