18446313. INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING APPARATUS, METHOD FOR TRAINING INFERENCE MODEL, AND NON-TRANSITORY STORAGE MEDIUM simplified abstract (CANON KABUSHIKI KAISHA)
INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING APPARATUS, METHOD FOR TRAINING INFERENCE MODEL, AND NON-TRANSITORY STORAGE MEDIUM
Organization Name
Inventor(s)
RITSUYA Tomita of Kanagawa (JP)
INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING APPARATUS, METHOD FOR TRAINING INFERENCE MODEL, AND NON-TRANSITORY STORAGE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18446313 titled 'INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING APPARATUS, METHOD FOR TRAINING INFERENCE MODEL, AND NON-TRANSITORY STORAGE MEDIUM
Simplified Explanation
The patent application describes an information processing system with two information processing apparatuses, each including an inference model based on a neural network and a training unit.
- The first information processing apparatus acquires and trains a first inference model using teacher data, then transmits output information to the second information processing apparatus.
- The second information processing apparatus acquires a second inference model, which is a common inference model similar to the first model, and trains it based on the output information from the first apparatus.
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- Potential Applications
- Machine learning systems
- Artificial intelligence applications
- Data analysis tools
- Problems Solved
- Efficient training of inference models
- Seamless communication between information processing apparatuses
- Consistent performance across different neural networks
- Benefits
- Improved accuracy of inference models
- Faster training process
- Enhanced collaboration between multiple processing units
Original Abstract Submitted
An information processing system includes first and second information processing apparatuses. The first information processing apparatus includes a first acquisition unit that acquires a first inference model based on a first neural network including an input layer, an intermediate layer group, and an output layer, a first training unit that trains the first inference model using teacher data, and a transmission unit that transmits output information based on forward propagation by the first training unit to the second information processing apparatus. The second information processing apparatus includes a second acquisition unit that acquires a second inference model based on a second neural network including an input layer, an intermediate layer group, and an output layer, wherein the second inference model is a common inference model and is similar to the first inference model, and a second training unit that trains the second inference model based on the output information.
