Deep Learning, Artificial Intelligence, Convolutional Network, Image Classification, Dropout.
co-adaptation by making the presence of other hidden units unreliable. 2. Experimental Results 2.1. MNIST Error Rate on MNIST All dropout nets use p = 0.5 for hidden units and p = 0.8 for input units. The best performing neural networks without dropout obtains 1.6% error rate. With dropout the