The Difficulty of Training Sparse Neural Networks.
Utku EvciFabian PedregosaAidan N. GomezErich ElsenPublished in: CoRR (2019)
Keyphrases
- neural network
- training process
- training algorithm
- feed forward neural networks
- multi layer perceptron
- pattern recognition
- feedforward neural networks
- back propagation
- artificial neural networks
- test set
- avoid overfitting
- error back propagation
- training set
- backpropagation algorithm
- multi layer
- compressed sensing
- neural network training
- multilayer neural network
- neural network model
- online learning
- hidden layer
- image reconstruction
- supervised learning
- genetic algorithm
- recurrent neural networks
- hidden markov models
- fuzzy logic
- neural network structure
- recurrent networks
- training patterns
- cellular neural networks
- sparse representation
- radial basis function network
- fault diagnosis
- multilayer perceptron