WS standardizes the weights in convolutional levels to sleek the loss landscape by decreasing the Lipschitz constants in the loss and the gradients; BCN brings together batch and channel normalizations and leverages believed data on the activations in convolutional levels to keep networks faraway from elimination singularities. We validate WS https://shulamithg532gkq5.blog-gold.com/profile