Towards Understanding the Importance of Noise in Training Neural Networks.

Mo Zhou Tianyi Liu Yan Li Dachao Lin Enlu Zhou Tuo Zhao

Published in: CoRR (2019)

Keyphrases

neural network
training process
training algorithm
feedforward neural networks
multi layer perceptron
train a neural network
feed forward neural networks
neural network training
backpropagation algorithm
training and testing data
training set
error back propagation

back propagation
additive noise
noise level
recurrent networks
pattern recognition
multi layer
noise reduction
signal to noise ratio
active learning
fuzzy logic
test set
recurrent neural networks

genetic algorithm
artificial neural networks
noise sensitivity
deeper understanding
training examples
missing data
neural network model
data sets
training patterns
neural nets
multilayer neural network
noisy data

hidden layer
input data
online learning
fault diagnosis
random noise
self organizing maps
median filter
relative importance
rule extraction
image noise
noise model
training phase