Improving Neural Network Quantization without Retraining using Outlier Channel Splitting.
Ritchie ZhaoYuwei HuJordan DotzelChristopher De SaZhiru ZhangPublished in: CoRR (2019)
Keyphrases
- neural network
- artificial neural networks
- back propagation
- multi channel
- outlier detection
- neural network model
- progressive image transmission
- fault diagnosis
- fuzzy artmap
- recurrent neural networks
- training process
- multi layer
- multilayer perceptron
- network architecture
- prediction model
- fuzzy logic
- wavelet transform
- data mining