18563594. METHOD AND DEVICE FOR TESTING DEEP LEARNING MODEL AND COMPUTER STORAGE MEDIUM simplified abstract (BOE Technology Group Co., Ltd.)
Contents
- 1 METHOD AND DEVICE FOR TESTING DEEP LEARNING MODEL AND COMPUTER STORAGE MEDIUM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD AND DEVICE FOR TESTING DEEP LEARNING MODEL AND COMPUTER STORAGE MEDIUM - 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 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Deep Learning Model Testing
- 1.13 Original Abstract Submitted
METHOD AND DEVICE FOR TESTING DEEP LEARNING MODEL AND COMPUTER STORAGE MEDIUM
Organization Name
BOE Technology Group Co., Ltd.
Inventor(s)
METHOD AND DEVICE FOR TESTING DEEP LEARNING MODEL AND COMPUTER STORAGE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18563594 titled 'METHOD AND DEVICE FOR TESTING DEEP LEARNING MODEL AND COMPUTER STORAGE MEDIUM
Simplified Explanation
The patent application describes a method, apparatus, and computer storage medium for testing a deep learning model automatically.
- The method involves acquiring a deep learning model, accelerating it based on user instructions, acquiring test samples, and testing the model using the samples.
Key Features and Innovation
- Automatic process for accelerating and testing deep learning models.
- Improves the inference speed of the deep learning model.
- Provides a systematic approach to testing deep learning models.
Potential Applications
This technology can be used in various industries such as healthcare, finance, autonomous vehicles, and robotics for optimizing deep learning models.
Problems Solved
- Accelerates the testing process of deep learning models.
- Improves the efficiency of deep learning model deployment.
- Enhances the overall performance of deep learning models.
Benefits
- Saves time and resources in testing deep learning models.
- Increases the speed and accuracy of model inference.
- Facilitates the deployment of optimized deep learning models.
Commercial Applications
Title: Automated Deep Learning Model Testing for Enhanced Performance This technology can be applied in industries such as healthcare for medical image analysis, finance for fraud detection, autonomous vehicles for object recognition, and robotics for motion planning.
Prior Art
Readers can explore prior art related to deep learning model testing, acceleration methods, and inference speed optimization in the field of artificial intelligence and machine learning.
Frequently Updated Research
Stay updated on the latest advancements in deep learning model testing, acceleration techniques, and performance optimization in the field of artificial intelligence.
Questions about Deep Learning Model Testing
How does this technology impact the efficiency of deep learning model deployment?
This technology accelerates the testing process, leading to quicker deployment of optimized deep learning models.
What industries can benefit from the automatic testing of deep learning models?
Industries such as healthcare, finance, autonomous vehicles, and robotics can benefit from this technology for various applications.
Original Abstract Submitted
The present disclosure discloses a method, apparatus and computer storage medium for testing a deep learning model, which provides an automatic process for accelerating and testing the deep learning model. The method includes acquiring a deep learning model to be deployed; accelerating, in response to an acceleration instruction specified by a user, the deep learning model according to an acceleration method corresponding to the acceleration instruction so as to improve an inference speed of the deep learning model; acquiring test samples corresponding to the deep learning model after the acceleration is finished; and testing the deep learning model by using the test samples.
