Convolutional Neural Net, Machine Learning, Training Data For Ai, Geospatial Data, Generative Adversarial.
tries to learn from the real data and detect images produced by the generator as “fake” (Figure 1). Figure 1 — Architecture of a GAN showing the generation and discriminator models. During training, generator and discriminator models progressively learn to produce realistic images that are similar