Exploiting Invariance in Training Deep Neural Networks.
Chengxi YeXiong ZhouTristan McKinneyYanfeng LiuQinggang ZhouFedor ZhdanovPublished in: AAAI (2022)
Keyphrases
- neural network
- training process
- training algorithm
- feedforward neural networks
- multi layer perceptron
- neural network training
- backpropagation algorithm
- deep architectures
- pattern recognition
- feed forward neural networks
- multi layer
- back propagation
- genetic algorithm
- training patterns
- neural network model
- neural nets
- artificial neural networks
- error back propagation
- training examples
- learning algorithm
- neural network structure
- supervised learning
- fuzzy logic
- feature vectors
- training set
- discriminative power
- computer vision
- decision trees
- training data
- deep learning
- fault diagnosis
- training phase
- active learning
- probabilistic model
- multilayer perceptron
- feed forward
- radial basis function