Artificial intelligence model standardized training platform and automatic system

Abstract

The invention provides an artificial intelligence model standardized training platform and an automatic system. The training platform comprises a training platform body and an automation system. The method is developed on the basis of Python (programming language). A Docker (application container engine) virtualization technology is deployed to a server with a GPU (graphics processing unit). A TCP / IP (Transmission Control Protocol / Internet Protocol) is adopted for communication, is applied to the field of machine learning, and supports frameworks such as mainstream deep learning (DL) TensorFlow, PyTorch, Caffe, Keras, Thheano and the like; a user only needs to click a button or use some script commands on a client, codes can be automatically uploaded, data is downloaded, a GPU (graphics processing unit) is used for training a model of the user, and model evaluation and automatic optimization iteration are completed. In the whole process of training the model, the invention provides a set of operation system to ensure the automation, standardization and specialization of the training process of the artificial intelligence model, save time and simplify 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...

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

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