A Photonic Accelerator for Feature Map Generation in Convolutional Neural Networks
Contributo in Atti di convegno
Data di Pubblicazione:
2020
Abstract:
We propose a photonic accelerator for convolutional neural networks carrying out linear, nonlinear, and pooling operations. It achieves an excellent accuracy in TensorFlow simulations and is more energy efficient than state-of-the-art electronics.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
Electronics; Image recognition; Integrated photonics; Modulators; Neural networks; Optical elements
Elenco autori:
Andriolli, Nicola
Link alla scheda completa:
Titolo del libro:
Proceedings of OSA Advanced Photonics Congress - Photonics in Switching and Computing (PSC2020)