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1 I use RNN network as encoder, save the trained model in the source domain and test the USPS data set. The accuracy rate is only 10%, which is not as good as lenet network. Why is this
2 Does ADDA algorithm replace the noise with the target domain data set on the basis of Gan?
3 After using RNN as encoder, There is no obvious change in g_loss during confrontation generation.
The text was updated successfully, but these errors were encountered:
1 I use RNN network as encoder, save the trained model in the source domain and test the USPS data set. The accuracy rate is only 10%, which is not as good as lenet network. Why is this
2 Does ADDA algorithm replace the noise with the target domain data set on the basis of Gan?
3 After using RNN as encoder, There is no obvious change in g_loss during confrontation generation.
The text was updated successfully, but these errors were encountered: