Effects of the Nonlinearity in Activation Functions on the Performance of Deep Learning Models.
Nalinda KulathungaNishath Rajiv RanasingheDaniel VrinceanuZackary KinsmanLei HuangYunjiao WangPublished in: CoRR (2020)
Keyphrases
- learning models
- activation function
- neural network
- machine learning
- loss function
- learning algorithm
- machine learning algorithms
- semi supervised learning
- learning tasks
- artificial neural networks
- hidden layer
- feed forward
- back propagation
- conditional random fields
- classification models
- neural nets
- learning problems
- radial basis function
- network architecture
- basis functions
- support vector
- decision trees
- feature extraction
- feature selection