Self-training superconducting neuromorphic circuits using reinforcement learning rules.
Michael L. SchneiderE. M. JuéMatthew R. PufallK. SegallC. W. AndersonPublished in: CoRR (2024)
Keyphrases
- learning rules
- floating gate
- neural network
- biologically inspired
- artificial neural networks
- hybrid neural
- reinforcement learning
- magnetic field
- co training
- spiking neural networks
- high temperature
- semi supervised learning
- learning algorithm
- learning scheme
- training set
- semi supervised
- high speed
- cost sensitive
- back propagation
- circuit design
- analog circuits
- computer vision
- delay insensitive
- genetic algorithm
- boltzmann machine
- image enhancement
- unlabeled data
- multi view
- co occurrence
- multiscale
- three dimensional