Accelerating Training of Deep Neural Networks via Sparse Edge Processing.
Sourya DeyYinan ShaoKeith M. ChuggPeter A. BeerelPublished in: CoRR (2017)
Keyphrases
- neural network
- training algorithm
- training process
- feedforward neural networks
- real time
- neural network training
- deep architectures
- recurrent networks
- pattern recognition
- high dimensional
- feed forward neural networks
- multi layer perceptron
- error back propagation
- training patterns
- sparse data
- artificial neural networks
- sparse representation
- genetic algorithm
- backpropagation algorithm
- data processing
- recurrent neural networks
- back propagation
- neural nets
- avoid overfitting
- image processing
- reduced set
- neural network model
- training phase
- edge information
- information processing
- training samples
- activation function
- multilayer perceptron
- edge detection
- fuzzy neural network
- training data
- fault diagnosis
- feature selection
- learning algorithm
- training examples
- fuzzy systems