Different from developing neural networks (NNs) for general-purpose processors, the development for NN chips usually faces with some hardware-specific restrictions, such as limited precision of network signals and parameters, constrained computation ...
In this paper, we study the class of Higher-Order Neural Networks and especially the Pi-Sigma Networks. The performance of Pi-Sigma Networks is evaluated through several well known Neural Network Training benchmarks. In the experiments reported here, ...
Activation function is the most important function in neural network processing. In this article, the field-programmable gate array (FPGA)-based hardware implementation of a multilayer feed-forward neural network, with a log sigmoid activation function ...
Association for Computing Machinery
New York, NY, United States
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