18524062. APPARATUS AND METHOD WITH NEURAL NETWORK OPERATION UPSAMPLING simplified abstract (SAMSUNG ELECTRONICS CO., LTD.)
Contents
- 1 APPARATUS AND METHOD WITH NEURAL NETWORK OPERATION UPSAMPLING
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 APPARATUS AND METHOD WITH NEURAL NETWORK OPERATION UPSAMPLING - 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 Operation Apparatus
- 1.11 Original Abstract Submitted
APPARATUS AND METHOD WITH NEURAL NETWORK OPERATION UPSAMPLING
Organization Name
Inventor(s)
Hanwoong Jung of Suwon-si (KR)
Donghyun Kang of Suwon-si (KR)
APPARATUS AND METHOD WITH NEURAL NETWORK OPERATION UPSAMPLING - A simplified explanation of the abstract
This abstract first appeared for US patent application 18524062 titled 'APPARATUS AND METHOD WITH NEURAL NETWORK OPERATION UPSAMPLING
Simplified Explanation
The patent application describes a neural network operation apparatus that can generate an upsampled tensor and a neural network operation result based on a scale factor for upsampling.
Key Features and Innovation
- Apparatus includes one or more processors and memory storing instructions.
- Generates an upsampled tensor by copying pixels of a unit of data.
- Generates a neural network operation result by performing a pooling operation on the upsampled tensor.
Potential Applications
This technology can be used in image processing, computer vision, and artificial intelligence applications where neural networks are utilized.
Problems Solved
This technology addresses the need for efficient upsampling and pooling operations in neural networks to improve accuracy and performance.
Benefits
- Improved accuracy in neural network operations.
- Enhanced performance in image processing tasks.
- Increased efficiency in computer vision applications.
Commercial Applications
- Image recognition software.
- Autonomous vehicles.
- Medical imaging technology.
Questions about Neural Network Operation Apparatus
What are the key components of the neural network operation apparatus?
The neural network operation apparatus includes one or more processors and memory storing instructions for generating an upsampled tensor and a neural network operation result.
How does the neural network operation apparatus improve performance in image processing tasks?
By efficiently generating an upsampled tensor and performing pooling operations, the neural network operation apparatus enhances accuracy and efficiency in image processing applications.
Original Abstract Submitted
Neural network operation apparatus and method are provided. The neural network operation apparatus includes: one or more processors; and memory storing instructions configured to cause the one or more processors to: generate an upsampled tensor by copying pixels, of a unit of data, based on a scale factor for upsampling; and generate, based on the scale factor, a neural network operation result by performing a pooling operation on the upsampled tensor.
