Learned-Norm Pooling for Deep Feedforward and Recurrent Neural Networks.
Çaglar GülçehreKyungHyun ChoRazvan PascanuYoshua BengioPublished in: ECML/PKDD (1) (2014)
Keyphrases
- recurrent neural networks
- feed forward
- artificial neural networks
- neural nets
- back propagation
- hidden layer
- neural network
- recurrent networks
- visual cortex
- biologically plausible
- reservoir computing
- adaptive neural
- activation function
- feedforward neural networks
- cascade correlation
- feed forward neural networks
- neural model
- artificial neural
- echo state networks
- neural architecture
- primate visual cortex
- nonlinear dynamic systems
- artificial intelligence
- neuron model
- hebbian learning
- learning algorithm
- data mining