PixelRNN: In-pixel Recurrent Neural Networks for End-to-end-optimized Perception with Neural Sensors.
Haley M. SoLaurie BosePiotr DudekGordon WetzsteinPublished in: CoRR (2023)
Keyphrases
- end to end
- recurrent neural networks
- neural model
- hebbian learning
- recurrent networks
- neural network
- feed forward
- sensor networks
- network architecture
- reservoir computing
- admission control
- neural models
- ad hoc networks
- multipath
- sensory data
- congestion control
- echo state networks
- real time
- artificial neural networks
- wireless ad hoc networks
- cascade correlation
- nonlinear dynamic systems
- back propagation
- scalable video
- machine learning
- transport layer