US Patent Application 17972466. USING EMBEDDING FUNCTIONS WITH A DEEP NETWORK simplified abstract
Contents
USING EMBEDDING FUNCTIONS WITH A DEEP NETWORK
Organization Name
Inventor(s)
Gregory S. Corrado of San Francisco CA (US)
Jeffrey A. Dean of Palo Alto CA (US)
Gary R. Holt of Murrysville PA (US)
Julian P. Grady of Pittsburgh PA (US)
Sharat Chikkerur of Pittsburgh PA (US)
David W. Sculley, Ii of Pittsburgh PA (US)
USING EMBEDDING FUNCTIONS WITH A DEEP NETWORK - A simplified explanation of the abstract
- This abstract for appeared for US patent application number 17972466 Titled 'USING EMBEDDING FUNCTIONS WITH A DEEP NETWORK'
Simplified Explanation
The abstract describes a method for using embedded functions with a deep network. The method involves receiving input with different types of features, processing each feature using a specific embedding function to generate numeric values, and then using a deep network to generate an alternative representation of the input. Finally, a logistic regression classifier is used to predict a label for the input based on the alternative representation.
Original Abstract Submitted
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using embedded function with a deep network. One of the methods includes receiving an input comprising a plurality of features, wherein each of the features is of a different feature type; processing each of the features using a respective embedding function to generate one or more numeric values, wherein each of the embedding functions operates independently of each other embedding function, and wherein each of the embedding functions is used for features of a respective feature type; processing the numeric values using a deep network to generate a first alternative representation of the input, wherein the deep network is a machine learning model composed of a plurality of levels of non-linear operations; and processing the first alternative representation of the input using a logistic regression classifier to predict a label for the input.
