Recurrent Feedback Improves Feedforward Representations in Deep Neural Networks.
Siming YanXuyang FangBowen XiaoHarold RockwellYimeng ZhangTai Sing LeePublished in: CoRR (2019)
Keyphrases
- neuro fuzzy
- feed forward
- recurrent neural networks
- neural network
- back propagation
- neural nets
- artificial neural networks
- activation function
- recurrent networks
- hidden layer
- error back propagation
- feedforward neural networks
- biologically plausible
- feed forward neural networks
- adaptive neural
- neural architecture
- relevance feedback
- visual cortex
- artificial neural
- training algorithm
- primate visual cortex
- neuron model
- deep belief networks
- network architecture
- learning rules
- learning tasks
- object recognition
- pattern recognition
- genetic algorithm
- data mining