Deep Learning, Artificial Intelligence, Convolutional Network, Image Classification, Dropout.
error reduces to 1.35%. With other kinds of improvement such as using ReLU, more neurons, max-norm constraint, Maxout, 0.94% error rate is achieved. Test error for different architectures with and without dropout. The same architectures trained with and without dropout have drastically different