fig8

Large language models enabled intelligent microstructure optimization and defects classification of welded titanium alloys

Figure 8. The confusion matrix evaluation of the ResNet34 architecture on defect classification task. (A) Confusion matrix diagram; (B) confusion matrix with randomly initialized weights; (C) loaded pre-trained weights and trained for 500 epochs; (D) loaded pre-trained weights and trained for 5000 epochs.

Journal of Materials Informatics
ISSN 2770-372X (Online)
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