Recently i am training my data on GAN, as GAN have basic_critic and basic_generator. i want to know about the complete architecture of basic_critic and basic_generator.
You may examine the object returned by basic_generator(....) and basic_critic(....) call in a Jupyter notebook cell to see the model architecture. E.g. execute the following in a notebook cell:
generator = basic_generator(......)
generator
and the model should be displayed.
Actually i did for basic_critic before like basic_critic.summary. But I don’t know what’s happening in the middle Conv1D. Actually it will very helpful that someone can explain this to me.
If you do a ?? On the architecture before you call it (ie basic_generator??) it will provide the source code.