New framework improves performance of deep neural networks

By Matt Shipman, North Carolina State University

Image: CC0 Public Domain

North Carolina State University researchers have developed a new framework for building deep neural networks via grammar-guided network generators. In experimental testing, the new networks—called AOGNets—have outperformed existing state-of-the-art frameworks, including the widely-used ResNet and DenseNet systems, in visual recognition tasks.

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