Feed-forward Design vs. Mimic Learning for Interpretable Deep Models: A Comparative Study.
Jurn-Gyu ParkDamir SeitKuanysh TokayevPublished in: BigComp (2023)
Keyphrases
- feed forward
- neural nets
- learning algorithm
- learning models
- back propagation
- error back propagation
- prior knowledge
- biologically plausible
- neural network
- learning process
- learning scheme
- online learning
- user interface
- accurate models
- recurrent networks
- deep architectures
- machine learning
- recurrent neural networks
- probabilistic model
- artificial neural networks
- case study
- computational models
- design principles
- neural network model
- model selection
- fuzzy logic
- learning rules
- learned models
- decision trees
- knowledge base