What is machine learning and deep learning in manufacturing?

Artificial intelligence (AI) is a program that predicts and classifies features based on a large amount of data, and is generally divided into “machine learning” and “deep learning”.

Machine learning is a program function that learns regularity and relevance characteristics from a large amount of data so called big data, and makes predictions and judgments with even higher accuracy according to the amount of data. To make this happen, you need to instruct and specify features that you want to focus on, such as color and shape.

In the manufacturing industry, we can acquire a large amount of data on the operation of facilities and products, but in the case of failures and defective products, large amounts of data are not easily generated, so big data is not accumulated. For this reason, it is necessary to create a sufficient amount of data that can be automatically learned by amplifying a small amount of data through machine learning.


Deep learning, on the other hand, is a category of machine learning that adds a new mechanism to machine learning, where large amounts of data are input to deep learning algorithms that automatically learn the most useful feature extractions and combinations to determine output and predict the optimal classification.

In the manufacturing industry, it is used for automatically learning and judging the quality of products manufactured in large quantities, especially in the food industry.