Do Neural Networks Trained with Topological Features Learn Different Internal Representations?
Sarah McGuireShane JacksonTegan EmersonHenry KvingePublished in: CoRR (2022)
Keyphrases
- internal representations
- topological features
- neural network
- hidden units
- multilayer perceptron
- rbf network
- multi layer perceptron
- training process
- back propagation
- artificial neural networks
- activation function
- feed forward neural networks
- link prediction
- multi layer
- cognitive model
- hidden layer
- training set
- nonlinear functions
- radial basis function
- sensory data
- training algorithm
- state space
- collaborative filtering
- object recognition
- sensory information
- training data
- high level