Machine Learning, Deep Learning, Data Science, Computer Vision.
function, the upper bound for the generator’s gradient is shown below. In which, the gradient vanishes when the discriminator becomes optimal (D is close to D*). i.e. Gradient descent depends on the gradient to backpropagate signal. Regardless whether the prediction is accurate or not, vanishing