Training or Architecture? How to Incorporate Invariance in Neural Networks.
Kanchana Vaishnavi GandikotaJonas GeipingZorah LähnerAdam CzaplinskiMichael MöllerPublished in: CoRR (2021)
Keyphrases
- neural network
- training process
- training algorithm
- multi layer
- neural network structure
- feed forward neural networks
- multi layer perceptron
- network architecture
- error back propagation
- backpropagation algorithm
- feedforward neural networks
- real time
- associative memory
- multilayer neural network
- neural network training
- management system
- pattern recognition
- artificial neural networks
- neural network model
- training examples
- training data
- training set
- learning capabilities
- radial basis function network
- training phase
- virtual environment
- fuzzy systems
- back propagation
- software architecture
- data sets
- machine learning
- expert systems
- discriminative power
- activation function
- test set
- fuzzy neural network
- fuzzy logic
- supervised learning
- self organizing maps