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Deep learning, "grain and grass" first--On the way to obtain data sets

2022-08-04 06:21:00 【language】

Event address: CSDN 21-day Learning Challenge

Tuesday August 2nd, 2022 partly cloudy

Creative Project

Opportunity: Record the growth of Deep Learning Xiaobai
Expectation: At least 21 days/article output to share deep learning related notes
Vision: To be able to keep writing and keep updating

time	Theme	Content	Progress
2022-08-01	Hello world,Hello CNN MNIST!	Deep learning cloud environment experience, understand the deep learning framework	Completed
2022-08-02	Deep learning, "grass and grass" first - Talking about the way to obtain data sets	Master the way to obtain data sets and understand the processing methods of data sets in the deep learning framework	Completed
2022-08-03	Late night learning, just for "volume" - a detailed introduction to convolutional neural networks	Take weather recognition and clothing image classification as examples to explain convolutional neural networks	To learn

Data

As early as the CCF-GAIR 2020 summit, Professor Zhihua Zhou pointed out in his report titled "Abductive Learning" that the three elements for the role of artificial intelligence technology - data, algorithms, and computing power, in previous yearsIn the "big data era", big data itself does not necessarily mean great value. Data is a resource. To obtain the value of resources, effective data analysis must be carried out, and effective data analysis mainly relies on machine learning algorithms. Machine learning algorithmsIn China, deep learning technology has made great progress and exerted great power with the support of big data and large computing power.

One of the three elements of artificial intelligence - data
Today, data is stillA prerequisite for AI development,