Do We Really Need a Learnable Classifier at the End of Deep Neural Network?
Yibo YangLiang XieShixiang ChenXiangtai LiZhouchen LinDacheng TaoPublished in: CoRR (2022)
Keyphrases
- neural network
- fuzzy artmap
- learning vector quantization
- backpropagation neural network
- training process
- learning algorithm
- fuzzy classifier
- mlp neural networks
- back propagation
- feature space
- artificial neural networks
- training data
- nearest neighbour
- classification process
- neural network model
- probabilistic neural network
- multi layer perceptron
- linear classifiers
- binary decision tree
- recurrent neural networks
- training set
- learning classifier systems
- feed forward
- svm classifier
- decision boundary
- genetic algorithm
- feed forward neural networks
- support vector machine
- pattern recognition
- support vector
- data sets
- neural nets
- neural network is trained
- feature selection
- class labels
- training algorithm