Accelerating RNN Controllers with Parallel Computing and Weight Dropout Techniques

Author:

Sam Maxwell,Surendranath Kushal Kalyan Devalmapeta,Fu Xingang,Qingge Letu

Publisher

Springer Nature Singapore

Reference17 articles.

1. Suri, N.N., Deodhare, D., Nagabhushan, P.N.: Parallel levenberg-marquardt-based neural network training on linux clusters - a case study. In: Indian Conference on Computer Vision, Graphics & Image Processing (2002)

2. Cao, J., Novstrup, K.A., Goyal, A., Midkiff, S.P., Caruthers, J.M.: A parallel levenberg-marquardt algorithm. In: ICS 2009: Proceeding of the 23rd International Conference on Supercomputing, pp. 450–459 (2009). https://doi.org/10.1145/1542275.1542338

3. Przybylski, A., Thiel, B., Keller-Findeisen, J., Stock, B., Bates, M.: ’Gpufit: an open-source toolkit for GPU-accelerated curve fitting. Sci. Rep. 7, 15722 (2017). https://doi.org/10.1038/s41598-017-15313-9

4. Wang, J., Yang, B., Chen, Z.: Solar inverters: technologies and applications in photovoltaic power systems. Renew. Sustain. Energy Rev. 71, 789–802 (2017)

5. Texas instruments, digitally controlled solar micro inverter design using C2000 piccolo microcontroller user’s guide. https://www.ti.com/lit/ug/tidu405b/tidu405b.pdf

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