A Theoretical Analysis of Deep Neural Networks and Parametric PDEs.
Gitta KutyniokPhilipp PetersenMones RaslanReinhold SchneiderPublished in: CoRR (2019)
Keyphrases
- theoretical analysis
- neural network
- pattern recognition
- partial differential equations
- numerical simulations
- back propagation
- artificial neural networks
- recurrent neural networks
- parametric models
- network architecture
- neural network model
- numerical solution
- level set
- fuzzy logic
- fault diagnosis
- feed forward
- neural nets
- data sets
- feedforward neural networks
- deep learning
- learning rules
- fourth order
- fuzzy neural network
- neural network is trained
- anisotropic diffusion
- multilayer perceptron
- mathematical morphology
- self organizing maps
- denoising
- computer vision
- learning algorithm