On the role of synaptic stochasticity in training low-precision neural networks.
Carlo BaldassiFederica GeraceHilbert J. KappenCarlo LucibelloLuca SagliettiEnzo TartaglioneRiccardo ZecchinaPublished in: CoRR (2017)
Keyphrases
- neural network
- training process
- feed forward
- feedforward neural networks
- feed forward neural networks
- training algorithm
- learning rules
- error back propagation
- backpropagation algorithm
- neural network training
- pattern recognition
- multi layer perceptron
- training phase
- training set
- recurrent neural networks
- back propagation
- recurrent networks
- multi layer
- hidden layer
- training examples
- artificial neural networks
- fuzzy systems
- fault diagnosis
- radial basis function
- radial basis function network
- spiking neural networks
- information processing
- hebbian learning
- spiking neurons