Understanding Weight Similarity of Neural Networks via Chain Normalization Rule and Hypothesis-Training-Testing.
Guangcong WangGuangrun WangWenqi LiangJianhuang LaiPublished in: CoRR (2022)
Keyphrases
- neural network
- training process
- training algorithm
- similarity measure
- feed forward neural networks
- test set
- neural network structure
- feedforward neural networks
- back propagation
- weight assignment
- genetic algorithm
- neural network training
- training stage
- neural network model
- training set
- distance measure
- backpropagation algorithm
- multilayer perceptron
- radial basis function network
- weighted sums
- training phase
- testing phase
- multi layer
- euclidean distance
- association rules
- fuzzy logic
- supervised learning
- training examples
- data mining
- multilayer neural network
- machine learning
- pattern recognition
- recurrent networks
- training samples
- edit distance
- test cases
- rule learning
- structural similarity
- self organizing maps
- similarity metric
- classification rules
- similarity function
- neural nets