Huawei technologies co., ltd. (20240127065). GAN TRAINING METHOD, MACHINE LEARNING SYSTEM, AND COMMUNICATION APPARATUS simplified abstract
Contents
GAN TRAINING METHOD, MACHINE LEARNING SYSTEM, AND COMMUNICATION APPARATUS
Organization Name
Inventor(s)
Rong Li of Boulogne Billancourt (FR)
GAN TRAINING METHOD, MACHINE LEARNING SYSTEM, AND COMMUNICATION APPARATUS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240127065 titled 'GAN TRAINING METHOD, MACHINE LEARNING SYSTEM, AND COMMUNICATION APPARATUS
Simplified Explanation
The patent application relates to a gan training method, a machine learning system, and a communication apparatus in the field of communication technologies and AI. The machine learning system consists of a first device and a second device, where a first GAN operates on the first device and a second GAN operates on the second device. The first GAN includes a first generator and a first discriminator, while the second GAN includes a second generator and a second discriminator.
- Explanation of the patent:
- GAN training method for communication technologies and AI. - Machine learning system with two devices running separate GANs. - First GAN with a generator and discriminator on the first device. - Second GAN with a generator and discriminator on the second device.
Potential applications of this technology: - Enhanced communication systems - Improved AI algorithms - Advanced data processing capabilities
Problems solved by this technology: - Better training methods for GANs - Enhanced communication between devices - Improved machine learning systems
Benefits of this technology: - Increased efficiency in data processing - Enhanced communication capabilities - Improved AI algorithms
Potential commercial applications of this technology: - Communication technology companies - AI research and development firms - Data processing companies
Possible prior art: - Previous GAN training methods - Existing machine learning systems
Unanswered questions: 1. How does this technology compare to existing GAN training methods in terms of efficiency? 2. What specific communication technologies can benefit the most from this innovation?
Original Abstract Submitted
a gan training method, a machine learning system, and a communication apparatus are provided, which relate to the field of communication technologies and ai. the machine learning system includes a first device and a second device, where a first gan runs on the first device, a second gan runs on the second device, the first gan includes a first generator and a first discriminator, and the second gan includes a second generator and a second discriminator.
