Machine Learning, Deep Learning, Artificial Intelligence, Data Science, Towards Data Science.
by the vanishing gradient problem, which occurs when propagating and multiplying small gradients across a large number of layers. The authors believe that it is easier to optimize residual mapping than an archetypal neural architecture. Furthermore, residual block can decide to “shut itself down”