Toward Understanding the Importance of Noise in Training Neural Networks.
Mo ZhouTianyi LiuYan LiDachao LinEnlu ZhouTuo ZhaoPublished in: ICML (2019)
Keyphrases
- neural network
- training process
- training algorithm
- feed forward neural networks
- multi layer perceptron
- train a neural network
- feedforward neural networks
- back propagation
- backpropagation algorithm
- pattern recognition
- neural network training
- artificial neural networks
- supervised learning
- genetic algorithm
- image noise
- noise level
- random noise
- test set
- noise free
- training set
- median filter
- relative importance
- training phase
- deeper understanding
- additive noise
- multilayer neural network
- trained neural network
- error back propagation
- machine learning
- noise model
- support vector
- multi layer
- multilayer perceptron
- noisy images
- feed forward
- neural network model
- missing data
- online learning
- fuzzy logic