fig10

Figure 10. The t-SNE visualization of ResNet34 architecture. (A) With randomly initialized weights; (B) loaded pre-trained weights without being trained in the welding image dataset; (C) loaded pre-trained weights and trained for 500 epochs; (D) loaded pre-trained weights and trained for 5000 epochs. t-SNE: t-Distributed stochastic neighbor embedding.