The training response law explains how deep neural networks learn.
Kenichi NakazatoPublished in: CoRR (2022)
Keyphrases
- neural network
- training process
- training algorithm
- feedforward neural networks
- pattern recognition
- feed forward neural networks
- learning rules
- training set
- back propagation
- genetic algorithm
- neural network training
- backpropagation algorithm
- training patterns
- multi layer perceptron
- neural nets
- training phase
- artificial neural networks
- multi layer
- training samples
- supervised learning
- error back propagation
- deep architectures
- artificial intelligence
- case study
- training examples
- test set
- efficient learning
- legal reasoning
- deep learning
- cellular neural networks
- active learning
- recurrent networks
- online learning
- iterative learning
- recurrent neural networks