Enhancing Creativity in Deep Learning Models with SAVE-Inspired Activation Functions.
Stelian BradPublished in: TFC (2023)
Keyphrases
- learning models
- activation function
- neural network
- machine learning
- feed forward
- learning algorithm
- learning rate
- hidden layer
- artificial neural networks
- back propagation
- semi supervised learning
- learning tasks
- neural nets
- loss function
- conditional random fields
- learning problems
- network architecture
- classification models
- multilayer perceptron
- machine learning algorithms
- basis functions
- data sets
- knn
- convergence rate
- unlabeled data
- unsupervised learning
- small number
- semi supervised
- rbf neural network
- fuzzy logic
- evolutionary algorithm
- fuzzy neural network
- training phase
- multi layer perceptron
- pattern recognition