Computer Vision, Deep Learning, Generative Adversarial, Generator, Gans.
Generator learns from its mistakes (Image by Author) The generator architecture is a neural network which takes in the noise input vector and converts it to an output image (in the case of DCGAN). Here is an example of the generator architecture picked from the DCGAN paper. As seen in the below