Libraries of hidden layer activity patterns can lead to better understanding of operating principles of deep neural networks.
Jung Hoon LeePublished in: CoRR (2019)
Keyphrases
- number of hidden units
- hidden layer
- neural network
- activity patterns
- back propagation
- feed forward
- activation function
- artificial neural networks
- multilayer perceptron
- recurrent neural networks
- radial basis function
- learning rate
- feed forward neural networks
- hidden units
- rbf neural network
- backpropagation algorithm
- training algorithm
- neural nets
- feedforward neural networks
- fuzzy neural network
- connection weights
- error back propagation
- fault diagnosis
- fuzzy logic
- radial basis function neural network
- pattern recognition
- output layer
- latent variables
- learning algorithm
- neural network structure
- single hidden layer
- rbf network
- rbfnn
- single layer
- hidden neurons
- fuzzy inference system
- neural network model
- support vector machine
- artificial intelligence
- number of hidden layers