Hello everyone,
I am trying to code a generative adversarial network using Mathematica's neural networks but I have a few questions still.
Since I am no computer scientist (yet) I intend on taking the structure of a GAN and implementing it into Mathematica. However I have trouble finding Fractionally-Strided Convolution layers. Is that the same as Deconvolution layers in Mathematica or should I use some other layers ?
Is there a specific encoder for text ? Since my input will be a piece of text describing the output image, a built in encoder might help greatly.
And finally, since GANs are composed of a generator and a discriminator battling each other, how do I, in Mathematica, implement this back and forth battle between the two nets ?
I really am a beginner in using neural networks so any help is greatly appreciated. Because of that, I am fully aware that entire swathes of computer science might have to been explained to me, however a quick direction towards the important topics can help me direct my research. Thank you for your answers !