Reversible Architectures for Arbitrarily Deep Residual Neural Networks.
Bo ChangLili MengEldad HaberLars RuthottoDavid BegertElliot HolthamPublished in: AAAI (2018)
Keyphrases
- neural network
- neural architectures
- pattern recognition
- artificial neural networks
- feed forward
- genetic algorithm
- neural network model
- fuzzy logic
- recurrent neural networks
- neural nets
- self organizing maps
- multi layer
- artificial intelligence
- fuzzy systems
- markov chain
- fault diagnosis
- feedforward neural networks
- deep learning
- fuzzy neural network
- residual error
- neural network is trained
- soft computing
- sufficient conditions
- expert systems
- bayesian networks
- training data
- image sequences
- image processing
- information retrieval
- machine learning