Approximating smooth functions by deep neural networks with sigmoid activation function.
Sophie LangerPublished in: CoRR (2020)
Keyphrases
- activation function
- smooth functions
- neural network
- basis functions
- input space
- hidden layer
- back propagation
- receptive fields
- closely related
- artificial neural networks
- feed forward neural networks
- feed forward
- radial basis function
- linear combination
- neural nets
- sigmoid function
- multilayer perceptron
- feedforward neural networks
- learning rate
- network architecture
- neural network model
- fault diagnosis
- pattern recognition
- energy function
- multi layer perceptron
- input image
- high dimensional
- genetic algorithm
- machine learning