On Calibration of Mixup Training for Deep Neural Networks.
Juan MaroñasDaniel RamosRoberto ParedesPublished in: S+SSPR (2020)
Keyphrases
- neural network
- training process
- training algorithm
- multi layer perceptron
- feedforward neural networks
- feed forward neural networks
- back propagation
- pattern recognition
- backpropagation algorithm
- error back propagation
- recurrent networks
- camera calibration
- neural network training
- deep architectures
- training examples
- supervised learning
- neural network model
- feed forward
- multi layer
- recurrent neural networks
- self organizing maps
- test set
- online learning
- computer vision
- learning rate
- hidden layer
- neural nets
- training phase
- rule extraction
- deep learning
- autocalibration
- global exponential stability
- fuzzy logic
- training data
- genetic algorithm