VLSI Architecture of Sigmoid Activation Function for Rapid Prototyping of Machine Learning Applications.
Binit Kumar PanditAyan BanerjeePublished in: iSES (2021)
Keyphrases
- activation function
- rapid prototyping
- vlsi architecture
- machine learning
- neural network
- vlsi implementation
- artificial neural networks
- low complexity
- feed forward
- hidden layer
- back propagation
- low power
- neural nets
- learning rate
- real time
- basis functions
- development environment
- fuzzy neural network
- learning algorithm
- network architecture
- learning tasks
- pattern recognition
- sigmoid function
- multilayer perceptron
- radial basis function
- feature selection
- multi layer perceptron
- input space
- artificial intelligence
- low cost
- wireless networks
- autoregressive
- rbf neural network
- kernel methods
- neural network model
- multiresolution