Assessing Neural Network Representations During Training Using Noise-Resilient Diffusion Spectral Entropy.
Danqi LiaoChen LiuBenjamin W. ChristensenAlexander TongGuillaume HuguetGuy WolfMaximilian NickelIan AdelsteinSmita KrishnaswamyPublished in: CISS (2024)
Keyphrases
- neural network
- train a neural network
- training process
- training algorithm
- feed forward neural networks
- back propagation
- feedforward neural networks
- multi layer perceptron
- neural network training
- backpropagation algorithm
- trained neural network
- artificial neural networks
- neural network structure
- recurrent networks
- training patterns
- genetic algorithm
- feed forward
- mutual information
- neural network model
- test set
- information theoretic
- information theory
- training and testing data
- signal to noise ratio
- fuzzy neural network
- activation function
- noisy data
- missing data
- image segmentation
- multilayer perceptron
- supervised learning
- fault diagnosis
- spectral analysis
- radial basis function
- training phase
- hidden layer
- anisotropic diffusion
- recurrent neural networks