A Task-Parallel and Reconfigurable FPGA-Based Hardware Implementation of Extreme Learning Machine

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An approximate randomization-based neural network with dedicated digital architecture for energy-constrained devices

E Ragusa, C Gianoglio, R Zunino… - Neural Computing and …, 2023 - Springer
Variable energy constraints affect the implementations of neural networks on battery-
operated embedded systems. This paper describes a learning algorithm for randomization …
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