Deep Learning, Artificial Intelligence, Convolutional Network, Image Classification, Regularization.
expected that (i) when the original network is selected, learning is correctly promoted, and (ii) when the network with strong perturbation is selected, learning is disturbed, as shown in the first figure at the top of this story. ShakeDrop coincides with RandomDrop when α =β = 0. 4. Experimental