An artificial intelligence model standardized training platform and automation system

An artificial intelligence and training system technology, applied in the field of artificial intelligence, can solve problems such as no effective solution, insufficient data volume, difficulty in artificial intelligence feature labeling, etc., to save time, simplify steps, and ensure the effect of automation

Active Publication Date: 2021-05-14
北京智能工场科技有限公司
View PDF9 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There are generally two problems encountered in artificial intelligence training: first, how to train the model if the amount of data is not enough? Second, how to label quickly when the amount of data is too large? With the extensive adoption of sensors, the amount of data has entered the prehistoric era, which brings difficulties for artificial intelligence to mark features. At this time, deep learning can be used for marking
[0018] It can be seen that for the training of artificial intelligence models, the existing technology does not provide an effective solution

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • An artificial intelligence model standardized training platform and automation system
  • An artificial intelligence model standardized training platform and automation system
  • An artificial intelligence model standardized training platform and automation system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0092] In order to further illustrate the various embodiments, the present invention provides accompanying drawings, which are part of the disclosure of the present invention, and are mainly used to illustrate the embodiments, and can be used in conjunction with the relevant descriptions in the specification to explain the operating principles of the embodiments, for reference Those of ordinary skill in the art should be able to understand other possible implementations and advantages of the present invention. The components in the figures are not drawn to scale, and similar component symbols are generally used to represent similar components.

[0093] In one example, see figure 1 , the platform is closed into three parts: product management end, operation end and development end. Users cannot debug their own models, and the latter part must wait for the debugging results of the former part. The time cost is high, and it is impossible to realize automatic iteration. , for this...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The present invention proposes a standardized training platform and automation system for artificial intelligence models. The training platform and the automation system are developed based on Python (programming language) and deployed on a platform with a GPU (graphics processing engine) using Docker (application container engine) virtualization technology. Device) server, using TCP / IP (Internet Transfer Protocol) protocol for communication, applied in the field of machine learning, supporting mainstream deep learning (Deep Learning, DL) TensorFlow, PyTorch, Caffe, Keras, Theano and other frameworks; users only need to Click the button on the client or use some script commands to automatically upload the code, download the data and use the GPU (Graphics Processing Unit) to train your own model, and complete the model evaluation and automatic optimization iterations; in the whole process of training the model, the present invention A set of operation system is provided to ensure the automation, standardization and specialization of the artificial intelligence model training process, saving time and simplifying steps.

Description

technical field [0001] The invention belongs to the field of artificial intelligence, and in particular relates to an artificial intelligence model standardized training platform and an automation system. Background technique [0002] Artificial intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce a new intelligent machine that can respond in a manner similar to human intelligence. Research in this field includes robotics, language recognition, image recognition, natural language processing and expert systems, etc. Since the birth of artificial intelligence, the theory and technology have become increasingly mature, and the application fields have also continued to expand. It can be imagined that the technological products brought by artificial intelligence in the future will be the "container" of human wisdom. Artificial intelligence can simulate the information process of human consciousness and thinking. Artifi...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G06N3/00G06K9/62
CPCG06N3/008G06F18/214
Inventor 李嘉懿任永亮杨菲贺同路龚有三张佳
Owner 北京智能工场科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products