Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet

17 Feb 2018Seyyed Hossein HasanpourMohammad RouhaniMohsen FayyazMohammad SabokrouEhsan Adeli

Major winning Convolutional Neural Networks (CNNs), such as VGGNet, ResNet, DenseNet, \etc, include tens to hundreds of millions of parameters, which impose considerable computation and memory overheads. This limits their practical usage in training and optimizing for real-world applications... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Image Classification CIFAR-10 SimpleNetv2 Percentage correct 96.29 # 34
Image Classification CIFAR-100 SimpleNetv2 Percentage correct 80.29 # 32

Methods used in the Paper