HIGHLIGHTS
- who: Arwa Alturki and collaborators from the Department of Computer Science, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia have published the paper: Depth-Adaptive Deep Neural_Network Based on Learning Layer Relevance Weights, in the Journal: (JOURNAL)
- what: The authors propose two novel Adaptive Neural Network Approaches (ANNAs) which are intended to automatically learn the optimal network depth. Specifically, the authors propose two algorithms to simultaneously learn (i) the depth parameter and_(ii) the weight of each layer, and then train the DNN model. The approach is based on a cost . . .
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