Residual Neural Network (ResNet) - AI Research Graph - Crossminds
Residual Neural Network (ResNet) - AI Research Graph
First introduced by Kaiming He, et al. (2015), ResNets is created by reformulating the layers as learning residual functions with reference to the layer inputs, instead of learning unreferenced functions. It is easier to optimize, and gains accuracy from considerably increased depth. This graph covers the important knowledge areas and research papers related to ResNet.
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