Hi Aadil, Thanks a lot for your response. I understand the concept, but since I am relatively new to the tf framework, I am having some problem getting the test data to execute on the trained generator.
So Let me explain it in a few sentences. I am using your program with required changes to train it on my 8 dimensional (8 features / columns) numeric data set. The GAN seems to train quite well. Now for the test phase, first I am generating random noise with the following commands:
Z_test_batch = sample_Z(100, 8) – this generates 100 samples of 8 dimensional test data set.
After that, I pass it through the trained generator function. This is the step which I think I am doing incorrectly.
The error received is: “AttributeError: ‘tuple’ object has no attribute ‘ndims’”.
I need your guidance in how to change the test data set to work with the generator. And secondly, if just calling the generator function like I am doing will actually correspond to the trained GAN Network?
Thanks in advance,