안녕하세요. 렌더링을 통한 훈련과 테스트 데이터를 만드는 과정에서, 이 둘의 관계는 딥러닝의 관점에서 사용되는 증명의 관계인가요? 아니면 진짜 테스트 데이터를 만들어서 테스트 하기 위한 관계인가요? 일반적으로 훈련데이터에 사용되지 않는 테스트 데이터를 만들고, 훈련데이터와 테스트 데이터를 6:4 비율로 만드는 일반적인 딥러닝 훈련과정속에서
In the process of creating training and testing data through rendering(tesstrain.sh), is the relationship between these two provenances used in terms of deep learning? Or is it a relationship to create and test real test data? Generally, you create test data that is not used for training data, and in a typical deep-running training process that creates training data and test data at a 6: 4 ratio -- You received this message because you are subscribed to the Google Groups "tesseract-ocr" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. Visit this group at https://groups.google.com/group/tesseract-ocr. To view this discussion on the web visit https://groups.google.com/d/msgid/tesseract-ocr/0c7d9238-d95e-4929-82d9-e5dfe3bc9676%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
