Training Deep Neural Networks with Adversarially Augmented Features for Small-scale Training Datasets.
Masato IshiiAtsushi SatoPublished in: IJCNN (2019)
Keyphrases
- small scale
- training dataset
- neural network
- training set
- training process
- training data
- trained classifiers
- training samples
- training algorithm
- training examples
- class labels
- feature set
- classification accuracy
- feature vectors
- feature space
- pattern recognition
- data sets
- feed forward neural networks
- feedforward neural networks
- feature extraction
- multilayer perceptron
- high dimensional
- multi layer perceptron
- backpropagation algorithm
- training and testing data