An Optimized Parallel Implementation of Non-Iteratively Trained Recurrent Neural Networks

Data publikacji: 03 gru 2020

Zakres stron: 33 - 50

Otrzymano: 07 maj 2020

Przyjęty: 14 wrz 2020

DOI: https://doi.org/10.2478/jaiscr-2021-0003

Słowa kluczowe

GPU implementation, parallelization, Recurrent Neural Network (RNN), Long-short Term Memory (LSTM), Gated Recurrent Unit (GRU), Extreme Learning Machines (ELM), non-iterative training

© 2021 Julia El Zini et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.