Greedy Shallow Networks: A New Approach for Constructing and Training Neural Networks.
Anton DereventsovArmenak PetrosyanClayton G. WebsterPublished in: CoRR (2019)
Keyphrases
- neural network
- training process
- recurrent networks
- training algorithm
- backpropagation algorithm
- feedforward neural networks
- recurrent neural networks
- number of hidden units
- neural network training
- back propagation
- artificial neural networks
- greedy algorithm
- echo state networks
- pattern recognition
- neural network ensemble
- feed forward neural networks
- feed forward
- social networks
- training data
- multilayer perceptron
- natural language processing
- search algorithm
- heterogeneous networks
- training patterns
- error back propagation
- counter propagation
- network design
- multi layer perceptron
- data sets
- network structure
- fuzzy logic
- supervised learning
- online learning
- training examples
- search space
- test set
- neural network model
- neural nets
- complex networks
- batch mode
- greedy algorithms
- dynamic programming
- decision trees
- computer networks
- learning algorithm
- nonlinear functions
- neural network structure
- network analysis
- network architecture