Perceptron Theory for Predicting the Accuracy of Neural Networks.
Denis KleykoAntonello RosatoEdward Paxon FradyMassimo PanellaFriedrich T. SommerPublished in: CoRR (2020)
Keyphrases
- neural network
- pattern recognition
- neural nets
- genetic algorithm
- learning rules
- accuracy rate
- artificial neural networks
- general theory
- neural network model
- back propagation
- high accuracy
- error rate
- prediction accuracy
- high precision
- computational efficiency
- multi class
- information systems
- highly accurate
- network architecture
- computer vision
- learning algorithm
- data sets