Huawei technologies co., ltd. (20240232618). TRAINING METHOD AND APPARATUS FOR NEURAL NETWORK MODEL, AND DATA PROCESSING METHOD AND APPARATUS simplified abstract
Contents
- 1 TRAINING METHOD AND APPARATUS FOR NEURAL NETWORK MODEL, AND DATA PROCESSING METHOD AND APPARATUS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 TRAINING METHOD AND APPARATUS FOR NEURAL NETWORK MODEL, AND DATA PROCESSING METHOD AND APPARATUS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Questions about Neural Network Training Method
- 1.11 Original Abstract Submitted
TRAINING METHOD AND APPARATUS FOR NEURAL NETWORK MODEL, AND DATA PROCESSING METHOD AND APPARATUS
Organization Name
Inventor(s)
Qingchun Meng of Shenzhen (CN)
TRAINING METHOD AND APPARATUS FOR NEURAL NETWORK MODEL, AND DATA PROCESSING METHOD AND APPARATUS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240232618 titled 'TRAINING METHOD AND APPARATUS FOR NEURAL NETWORK MODEL, AND DATA PROCESSING METHOD AND APPARATUS
Simplified Explanation
The patent application describes a method for training a neural network model with an expert network layer based on specific training data sets.
Key Features and Innovation
- Training a neural network model with an expert network layer
- Determining initial weights based on word vector matrices
- Obtaining word vector matrices through training with specific training data sets
Potential Applications
This technology can be applied in various fields such as natural language processing, image recognition, and predictive analytics.
Problems Solved
This technology addresses the need for more efficient training methods for neural networks with expert network layers.
Benefits
- Improved accuracy and performance of neural network models
- Enhanced capabilities in specialized service fields
- Faster training process with optimized weight initialization
Commercial Applications
- Natural language processing applications
- Image recognition software
- Predictive analytics tools
Questions about Neural Network Training Method
How does the expert network layer improve the performance of neural network models?
The expert network layer allows for specialized knowledge in specific service fields to be incorporated into the neural network, enhancing its capabilities.
What are the advantages of using word vector matrices in training neural networks?
Word vector matrices provide a way to represent words in a numerical format, allowing for more efficient training and improved performance of the neural network model.
Original Abstract Submitted
in a neural network training method, a training device trains a neural network model based on a second training data set to obtain a target neural network model. the neural network model includes an expert network layer, which includes a first expert network of a first service field. the training device determines an initial weight of the first expert network based on a first word vector matrix, and obtains the first word vector matrix through training based on a first training data set of the first service field.
