Do neural networks trained with topological features learn different internal representations?
Sarah McGuireShane JacksonTegan EmersonHenry KvingePublished in: NeurReps (2022)
Keyphrases
- internal representations
- topological features
- neural network
- hidden units
- multilayer perceptron
- rbf network
- training process
- link prediction
- multi layer perceptron
- feed forward neural networks
- radial basis function
- neural network model
- artificial neural networks
- sensory data
- activation function
- high level
- hidden layer
- nonlinear functions
- neural nets
- training algorithm
- receptive fields
- natural images
- fuzzy neural network
- back propagation
- cognitive model
- input space
- active learning
- computational model
- fault diagnosis