The issus in Age Progression/Regression by Conditional Adversarial Autoencoder (CAAE)
The issus in Age Progression/Regression by Conditional Adversarial Autoencoder (CAAE)
Today I tried a new project named: Face-Aging-CAAE
Paper Name: Age Progression/Regression by Conditional Adversarial Autoencoder (CAAE)
Github: https://github.com/ZZUTK/Face-Aging-CAAE
But count some issues before I run the code successfully. Maybe it caused by the version of tensorflow.
1. TypeError: Expected int32, got list containing Tensors of type '_Message' instead.
2. ValueError: Only call 'sigmoid_cross_entropy_with_logits' with named arguments (labels=..., logits=..., ...)
3. ValueError: Variable E_conv0/w/Adam/ does not exist, or was not created with tf.get_variable(). Did you mean to set reuse=None in VarScope ?
The follow changes are needed for this code to solve above issues.
Then, you will see the process of training:
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