Romero-Zaliz, R.; Pérez, E.; Jiménez-Molinos, F.; Wenger, C.; Roldán, J.B.
Study of Quantized Hardware Deep Neural Networks Based on Resistive Switching Devices, Conventional versus Convolutional Approaches. Electronics 2021, 10, 346.
https://doi.org/10.3390/electronics10030346
AMA Style
Romero-Zaliz R, Pérez E, Jiménez-Molinos F, Wenger C, Roldán JB.
Study of Quantized Hardware Deep Neural Networks Based on Resistive Switching Devices, Conventional versus Convolutional Approaches. Electronics. 2021; 10(3):346.
https://doi.org/10.3390/electronics10030346
Chicago/Turabian Style
Romero-Zaliz, RocÃo, Eduardo Pérez, Francisco Jiménez-Molinos, Christian Wenger, and Juan B. Roldán.
2021. "Study of Quantized Hardware Deep Neural Networks Based on Resistive Switching Devices, Conventional versus Convolutional Approaches" Electronics 10, no. 3: 346.
https://doi.org/10.3390/electronics10030346
APA Style
Romero-Zaliz, R., Pérez, E., Jiménez-Molinos, F., Wenger, C., & Roldán, J. B.
(2021). Study of Quantized Hardware Deep Neural Networks Based on Resistive Switching Devices, Conventional versus Convolutional Approaches. Electronics, 10(3), 346.
https://doi.org/10.3390/electronics10030346