Machine Learning, Deep Learning, Artificial Intelligence, Data Science, Towards Data Science.
function that would not affect training. Example training of an 18- and 34-layer residual network. A residual network stacks residual blocks sequentially. The idea is to allow the network to become deeper without increasing the training complexity. Residual networks implement blocks with