We demonstrate Iris flower classification with a trained 3-layer photonic deep neural network, which is implemented by a monolithically integrated SOA-based InP cross-connect chip, achieving a final accuracy of 85.8%. An in-depth analysis of the error evolution in the system suggests that the E/O conversions from layer to layer contribute to the majority of the error.
|Publication status||Published - 2019|
|Event||24th annual Symposium of the IEEE Photonics Benelux Chapter - VU Main Building, Amsterdam, Netherlands|
Duration: 21 Nov 2019 → 22 Nov 2019
|Conference||24th annual Symposium of the IEEE Photonics Benelux Chapter|
|Period||21/11/19 → 22/11/19|
Shi, B., Calabretta, N., & Stabile, R. (2019). Error analysis of a 3-Layer SOA-based photonic deep neural network for image classification. Paper presented at 24th annual Symposium of the IEEE Photonics Benelux Chapter, Amsterdam, Netherlands.