The Impact of Architecture on the Deep Neural Networks Training.
Pawel RózyckiJanusz KolbuszAleksander MalinowskiBogdan M. WilamowskiPublished in: HSI (2019)
Keyphrases
- neural network
- training process
- training algorithm
- neural network structure
- network architecture
- multi layer
- feedforward neural networks
- feed forward neural networks
- pattern recognition
- multilayer neural network
- deep architectures
- neural network training
- back propagation
- management system
- error back propagation
- neural architectures
- training patterns
- backpropagation algorithm
- real time
- training set
- multi layer perceptron
- training examples
- recurrent networks
- supervised learning
- learning capabilities
- neural nets
- associative memory
- feed forward
- artificial neural networks
- layered architecture
- activation function
- genetic algorithm
- architectural design
- test set
- hidden layer
- fuzzy logic
- fuzzy neural network
- online learning
- recurrent neural networks
- neural network model
- self organizing maps