2 papers
cs.CV2018
Learning Multiple Categories on Deep Convolution Networks
Mohamed Hajaj, Duncan Gillies
Deep convolution networks have proved very successful with big datasets such as the 1000-classes ImageNet. Results show that the error rate increases slowly as the size of the data…
cs.CV2018
Batch Normalization and the impact of batch structure on the behavior of deep convolution networks
Mohamed Hajaj, Duncan Gillies
Batch normalization was introduced in 2015 to speed up training of deep convolution networks by normalizing the activations across the current batch to have zero mean and unity var…