Weight storage method in nerve network and processor based on same
A neural network and processor technology, applied in biological neural network models, neural architecture, physical implementation, etc., can solve the problems of slow neural network processing speed and high operating power consumption, and achieve the effect of reducing loading and storage space.
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0039] In order to make the purpose, technical solution, design method and advantages of the present invention clearer, the present invention will be further described in detail through specific embodiments in conjunction with the accompanying drawings. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0040] Typically, a deep neural network has a multi-layer topology. For example, a convolutional neural network consists of several convolutional layers, pooling layers, and fully connected layers. The operation process of a convolutional layer is: a L*L The weight convolution kernel of large and small sizes scans the input feature map. During the scanning process, the weight convolution kernel and the neurons in the corresponding convolution domain in the feature map calculate the inner product, and sum the inner product values of all convolution domains to obtain the convo...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com