Exploring Learned Representations of Neural Networks with Principal Component Analysis.
Amit HarlevAndrew EngelPanos StinisTony ChiangPublished in: CoRR (2023)
Keyphrases
- neural network
- principal component analysis
- principal components
- pattern recognition
- artificial neural networks
- independent component analysis
- dimensionality reduction
- genetic algorithm
- distributed representations
- symbolic knowledge
- linear discriminant analysis
- covariance matrix
- back propagation
- computer vision
- feed forward
- dimension reduction
- face images
- discriminant analysis
- fuzzy logic
- singular value decomposition
- neural network model
- feature extraction
- multi layer
- face recognition
- training procedure
- higher level
- hopfield neural network
- learned models
- feedforward neural networks
- random projections
- learning rules
- fuzzy systems
- support vector machine