Incremental Deep Neural Network Learning using Classification Confidence Thresholding.
Justin LeoJugal KalitaPublished in: CoRR (2021)
Keyphrases
- neural network
- incremental learning
- supervised learning
- pattern recognition
- learning process
- deep learning
- learning problems
- online learning
- knowledge acquisition
- deep architectures
- learning vector quantization
- learning phase
- neural nets
- learning tasks
- learning algorithm
- decision trees
- image processing
- unsupervised learning
- discriminative learning
- classification accuracy
- text classification
- active learning
- support vector
- feed forward
- feature extraction
- training process
- support vector machine
- classification method
- learning systems
- back propagation
- fuzzy logic
- image classification