Adversarial-Transformation-Network
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Problem in training
I just increased the value of training_epochs in atn.py and executed the command "python atn.py --train" with a new path for saving the model. But I found that the loss value of each epoch didn't change a lot: Eopch 1 completed. loss = 99.92884826660156 Eopch 2 completed. loss = 98.98079681396484 Eopch 3 completed. loss = 99.99166870117188 Eopch 4 completed. loss = 99.44509887695312 Eopch 5 completed. loss = 98.99491119384766 Eopch 6 completed. loss = 100.26902770996094 Eopch 7 completed. loss = 99.92530822753906 Eopch 8 completed. loss = 99.55029296875 Eopch 9 completed. loss = 99.61663818359375 Eopch 10 completed. loss = 100.05928039550781 Eopch 11 completed. loss = 99.95893859863281 Eopch 12 completed. loss = 97.95149230957031 Eopch 13 completed. loss = 99.51895904541016 Eopch 14 completed. loss = 99.58808898925781 Eopch 15 completed. loss = 101.28242492675781 Eopch 16 completed. loss = 100.20669555664062 Eopch 17 completed. loss = 100.06300354003906 Eopch 18 completed. loss = 101.12290954589844 Eopch 19 completed. loss = 100.303955078125 Eopch 20 completed. loss = 100.51847839355469 Eopch 21 completed. loss = 100.51861572265625 Eopch 22 completed. loss = 100.18065643310547 Eopch 23 completed. loss = 98.83200073242188 Eopch 24 completed. loss = 101.06179809570312 Eopch 25 completed. loss = 99.15919494628906 Eopch 26 completed. loss = 100.65020751953125 Eopch 27 completed. loss = 99.72256469726562 Eopch 28 completed. loss = 99.38571166992188 Eopch 29 completed. loss = 100.00604248046875 Eopch 30 completed. loss = 99.70945739746094
After 30 epochs, I executed "python atn.py" for test, but there is nothing in the images generated by model._autoencoder. All these generated images are pure black.
I only changed the value of epochs and the path that the model will be saved in. How did you train the model you provided in this project?
same here, can someone help