Mean field theory for deep dropout networks: digging up gradient backpropagation deeply.
Wei HuangRichard Yi Da XuWeitao DuYutian ZengYunce ZhaoPublished in: CoRR (2019)
Keyphrases
- back propagation
- neural network ensemble
- neural network
- artificial neural networks
- feed forward
- bp algorithm
- hidden layer
- training algorithm
- neural nets
- feed forward neural networks
- feedforward neural networks
- multilayer perceptron
- backpropagation neural networks
- fuzzy logic
- backpropagation algorithm
- bp neural network
- backpropagation neural network
- learning algorithm
- cascade correlation
- multilayer perceptron neural network
- belief networks
- rbf network
- levenberg marquardt
- network structure
- markov random field
- radial basis
- activation function
- training process
- multi layer
- trained neural network
- training data
- error back propagation
- decision making