Under the Hood of Neural Networks: Characterizing Learned Representations by Functional Neuron Populations and Network Ablations.
Richard MeyesConstantin Waubert de PuiseauAndres Posada-MorenoTobias MeisenPublished in: CoRR (2020)
Keyphrases
- neural network
- network model
- network architecture
- pattern recognition
- hopfield network
- activation function
- computer networks
- spiking neural networks
- fault diagnosis
- network structure
- neural network structure
- hidden neurons
- radial basis function network
- artificial neural networks
- self organizing maps
- recurrent networks
- input patterns
- wireless sensor networks
- hopfield networks
- peer to peer
- hopfield neural network
- single layer
- backpropagation neural networks
- distributed representations
- multilayer neural network
- growing neural gas
- communication networks
- neural network model
- radial basis function
- complex networks
- back propagation
- reinforcement learning