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.

© 2020 The Author(s)

PDF Article


You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
Login to access OSA Member Subscription