End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep Architecture.
Jianshu ChenJi HeYelong ShenLin XiaoXiaodong HeJianfeng GaoXinying SongLi DengPublished in: NIPS (2015)
Keyphrases
- end to end
- back propagation
- learning algorithm
- cascade correlation
- artificial neural networks
- neural network
- error back propagation
- feed forward
- feedforward neural networks
- neural nets
- multilayer neural network
- recurrent neural networks
- ad hoc networks
- multi layer
- weight update
- congestion control
- real time
- feed forward neural networks
- learning rules
- training algorithm
- hybrid learning
- activation function
- artificial intelligence
- bp neural network