Hi Data Scientist, Here is the latest video about GANs by Dr. Ryan Ahmed In this video, you will learn about GANS, how do they work and what you can achieve with it Check Dr. Ryan's channel: • 💀🧠 GANS: HOW AI CAN GE...
I want to know more about applications of GANs. For suppose we train the GAN (i.e. train both the networks generator and Discriminator), what are we trying to achieve here? During inference time what will the input and what will be the output? and what is the application? For example for CNN and LSTM, i clearly understand what are the applications, but i am not getting clarity on the real world applications of GANs.
What I don't quite understand is, if the real image needs to be fed to the discriminator and stays the same during the generating process, wouldn't the final generated image just become identical (or close enough) to this real image?
