Performance of Training Sparse Deep Neural Networks on GPUs.
Jianzong WangZhangcheng HuangLingwei KongJing XiaoPengyu WangLu ZhangChao LiPublished in: HPEC (2019)
Keyphrases
- neural network
- training process
- training algorithm
- feed forward neural networks
- artificial neural networks
- multi layer perceptron
- feedforward neural networks
- pattern recognition
- training set
- error back propagation
- neural network training
- backpropagation algorithm
- training patterns
- sparse data
- neural network model
- general purpose
- data sets
- deep architectures
- genetic algorithm
- multi layer
- multilayer perceptron
- feed forward
- supervised learning
- neural nets
- avoid overfitting
- training examples
- back propagation
- sparse representation
- fuzzy logic
- activation function
- decision trees
- training data
- hidden markov models
- online learning
- machine learning
- neural network structure
- text classification
- fault diagnosis