Confidence Calibration in Deep Neural Networks through Stochastic Inferences.
Seonguk SeoPaul Hongsuck SeoBohyung HanPublished in: CoRR (2018)
Keyphrases
- neural network
- pattern recognition
- camera calibration
- artificial neural networks
- fuzzy logic
- back propagation
- hopfield neural network
- self organizing maps
- high confidence
- neural network model
- feed forward
- hand eye coordination
- stochastic programming
- stochastic model
- training process
- fuzzy systems
- recurrent neural networks
- monte carlo
- computer vision
- multilayer perceptron
- confidence level
- intrinsic parameters
- genetic algorithm
- confidence scores
- confidence values
- data sets