Checking Robustness of Representations Learned by Deep Neural Networks.
Kamil SzycTomasz WalkowiakHenryk MaciejewskiPublished in: ECML/PKDD (5) (2021)
Keyphrases
- neural network
- pattern recognition
- artificial neural networks
- distributed representations
- genetic algorithm
- feed forward
- neural network model
- back propagation
- unsupervised feature learning
- neural nets
- fuzzy logic
- fault diagnosis
- symbolic knowledge
- deep belief networks
- information retrieval
- multi layer
- activation function
- data sets
- external representations
- machine learning
- set of training images
- unsupervised manner
- deep learning
- rule extraction
- multiscale
- information systems
- feature selection
- computational efficiency
- case study
- unsupervised learning