Research Article
Research on Open Innovation Intelligent Decision-Making of Cross-Border E-Commerce Based on Federated Learning
Table 5
Overall learning results.
| | Training rounds | Training time | Training loss | Training accuracy |
| | Epoch 1/500 | 689/689 [ = = = = = = = = = = = = = = = ] | - 0s 43us/step | - Loss: 0.2538 | - Accuracy: 0.9020 | | Epoch 2/500 | 689/689 [ = = = = = = = = = = = = = = = ] | - 0s 55us/step | - Loss: 0.2176 | - Accuracy: 0.9115 | | Epoch 3/500 | 689/689 [ = = = = = = = = = = = = = = = ] | - 0s 49us/step | - Loss: 0.2860 | - Accuracy: 0.8781 | | …… | | Epoch 498/500 | 689/689 [ = = = = = = = = = = = = = = = ] | - 0s 43us/step | - Loss: 0.0592 | - Accuracy: 0.9746 | | Epoch 499/500 | 689/689 [ = = = = = = = = = = = = = = = ] | - 0s 46us/step | - Loss: 0.0330 | - Accuracy: 0.9813 | | Epoch 500/500 | 689/689 [ = = = = = = = = = = = = = = = ] | - 0s 42us/step | - Loss: 0.0442 | - Accuracy: 0.9826 | | Testing samples | Testing time | Testing loss | Testing accuracy | | 173/173 [ = = = = = = = = = = = = = = = = = = = = = = = = = = = ] | -0s 202us/step | - Loss: 0.8188 | - Accuracy: 0.8092 |
|
|
