In situ optical backpropagation training of diffractive optical neural networks
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
In situ optical backpropagation training of diffractive optical neural networks
Authors
Keywords
-
Journal
Photonics Research
Volume 8, Issue 6, Pages 940
Publisher
The Optical Society
Online
2020-03-31
DOI
10.1364/prj.389553
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Probing 10 μK stability and residual drifts in the cross-polarized dual-mode stabilization of single-crystal ultrahigh-Q optical resonators
- (2019) Jinkang Lim et al. Light-Science & Applications
- Photonic In-Memory Computing Primitive for Spiking Neural Networks Using Phase-Change Materials
- (2019) Indranil Chakraborty et al. Physical Review Applied
- All-optical spiking neurosynaptic networks with self-learning capabilities
- (2019) J. Feldmann et al. NATURE
- Roadmap on all-optical processing
- (2019) Paolo Minzioni et al. Journal of Optics
- Large-Scale Optical Neural Networks Based on Photoelectric Multiplication
- (2019) Ryan Hamerly et al. Physical Review X
- Optical complex media as universal reconfigurable linear operators
- (2019) Maxime W. Matthès et al. Optica
- Towards artificial general intelligence with hybrid Tianjic chip architecture
- (2019) Jing Pei et al. NATURE
- Fourier-space Diffractive Deep Neural Network
- (2019) Tao Yan et al. PHYSICAL REVIEW LETTERS
- Reconfigurable Photonic Circuit for Controlled Power Delivery to Laser-Driven Accelerators on a Chip
- (2019) Tyler W. Hughes et al. Physical Review Applied
- On the use of deep learning for computational imaging
- (2019) George Barbastathis et al. Optica
- Nanophotonic media for artificial neural inference
- (2019) Erfan Khoram et al. Photonics Research
- All-optical neural network with nonlinear activation functions
- (2019) Ying Zuo et al. Optica
- Reinforcement learning in a large-scale photonic recurrent neural network
- (2018) J. Bueno et al. Optica
- All-optical machine learning using diffractive deep neural networks
- (2018) Xing Lin et al. SCIENCE
- Hybrid optical-electronic convolutional neural networks with optimized diffractive optics for image classification
- (2018) Julie Chang et al. Scientific Reports
- Deep speckle correlation: a deep learning approach toward scalable imaging through scattering media
- (2018) Yunzhe Li et al. Optica
- A guide to deep learning in healthcare
- (2018) Andre Esteva et al. NATURE MEDICINE
- Engineering Optics 2.0: A Revolution in Optical Materials, Devices, and Systems
- (2018) Xiangang Luo ACS Photonics
- Deep learning with coherent nanophotonic circuits
- (2017) Yichen Shen et al. Nature Photonics
- Controlled inhibition of spiking dynamics in VCSELs for neuromorphic photonics: theory and experiments
- (2017) Joshua Robertson et al. OPTICS LETTERS
- High-Speed Photonic Reservoir Computing Using a Time-Delay-Based Architecture: Million Words per Second Classification
- (2017) Laurent Larger et al. Physical Review X
- Advances in photonic reservoir computing
- (2017) Guy Van der Sande et al. Nanophotonics
- Superconducting Optoelectronic Circuits for Neuromorphic Computing
- (2017) Jeffrey M. Shainline et al. Physical Review Applied
- DiffuserCam: lensless single-exposure 3D imaging
- (2017) Nick Antipa et al. Optica
- Mastering the game of Go with deep neural networks and tree search
- (2016) David Silver et al. NATURE
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Analog optical computing
- (2015) Daniel R. Solli et al. Nature Photonics
- Trainable hardware for dynamical computing using error backpropagation through physical media
- (2015) Michiel Hermans et al. Nature Communications
- Optoelectronic Systems Trained With Backpropagation Through Time
- (2015) Michiel Hermans et al. IEEE Transactions on Neural Networks and Learning Systems
- Encoding complex fields by using a phase-only optical element
- (2014) Omel Mendoza-Yero et al. OPTICS LETTERS
- A million spiking-neuron integrated circuit with a scalable communication network and interface
- (2014) P. A. Merolla et al. SCIENCE
- Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
- (2012) Geoffrey Hinton et al. IEEE SIGNAL PROCESSING MAGAZINE
- Scaling Energy Per Operation via an Asynchronous Pipeline
- (2012) Bo Marr et al. IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS
- Controlling waves in space and time for imaging and focusing in complex media
- (2012) Allard P. Mosk et al. Nature Photonics
- Photonic neural networks
- (2012) Damien Woods et al. Nature Physics
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now