Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth.
Thao NguyenMaithra RaghuSimon KornblithPublished in: CoRR (2020)
Keyphrases
- neural network
- network structure
- network analysis
- social networks
- wide range
- pattern recognition
- distributed representations
- fuzzy logic
- network design
- neural network model
- network model
- back propagation
- genetic algorithm
- activation function
- network architecture
- function approximators
- unsupervised feature learning
- computer networks
- self organizing maps
- higher level
- artificial neural networks
- feed forward
- depth information
- complex networks
- fuzzy rules
- fault diagnosis
- network size
- data sets