Hi Ptrblck,
I am using conditional GAN, which I should convert the extra information (labels) as a hot-vector and concatenate them with the noise and feed to the generator. I am really confused that in some code they used “embedding” to pass the condition (labels) . what is the difference between embedding and using one hot vector? IN the main paper said that extra information should be passed with one-hot vector, but in the codes I saw embedding.