US Patent Application 17720212. SYNTHETIC DATA GENERATION USING DEEP REINFORCEMENT LEARNING simplified abstract
Contents
SYNTHETIC DATA GENERATION USING DEEP REINFORCEMENT LEARNING
Organization Name
Microsoft Technology Licensing, LLC
Inventor(s)
SYNTHETIC DATA GENERATION USING DEEP REINFORCEMENT LEARNING - A simplified explanation of the abstract
- This abstract for appeared for US patent application number 17720212 Titled 'SYNTHETIC DATA GENERATION USING DEEP REINFORCEMENT LEARNING'
Simplified Explanation
The abstract describes a method for deep reinforcement learning. It involves using two neural networks implemented on a processor. The first network generates a synthetic data set based on an original data set. Both the original and synthetic data sets are then provided to the second network. The second network generates a prediction that identifies the original and synthetic data sets. If the prediction incorrectly identifies the synthetic data set, the synthetic data set is exported.
Original Abstract Submitted
Systems and method for deep reinforcement learning are provided. The method includes generating, by a first neural network implemented on a processor, a synthetic data set based on an original data set, providing the original data set and the generated synthetic data set to a second neural network implemented on the processor, generating, by the second neural network, a prediction identifying the original data set and the generated synthetic data set, and based at least in part on the prediction incorrectly identifying the generated synthetic data set, exporting the generated synthetic data set.
