Convolutional Neural Net, Machine Learning, Training Data For Ai, Geospatial Data, Generative Adversarial.
that the model hasn’t seen during training. To have a fair comparison between GAN and CNN models, we designed their architectures with a similar number of parameters (44 M and 42 M, respectively). Both models were trained on the training dataset, and after the completion of training the CNN model