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.
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.