Machine Learning, Deep Learning, Neural Networks, Data Science, Towards Data Science.
is trained to minimise the final classification error So, at each iteration of the training process, the weights of the generative network are updated in order to increase the classification error (error gradient ascent over the generator’s parameters) whereas the weights of the discriminative