On the Convergence of the Multi-scale Deep Neural Network (MscaleDNN) in Approximating Oscillatory Functions.
Bo WangHeng YuanLizuo LiuWenzhong ZhangWei CaiPublished in: CoRR (2022)
Keyphrases
- neural network
- multiscale
- recurrent neural networks
- weight update
- artificial neural networks
- back propagation
- fuzzy logic
- pattern recognition
- multi layer
- natural images
- network model
- convergence rate
- convergence speed
- radial basis function
- activation function
- deep structure
- general regression neural networks
- scale space
- wavelet transform
- knn
- image processing
- self organizing maps
- feed forward
- coarse to fine
- multilayer perceptron
- image representation
- associative memory
- edge detection
- multiple scales
- deep learning
- reinforcement learning
- machine learning