Neural Network Compression Via Sparse Optimization.
Tianyi ChenBo JiYixin ShiTianyu DingBiyi FangSheng YiXiao TuPublished in: CoRR (2020)
Keyphrases
- neural network
- optimization problems
- sparse data
- genetic algorithm
- optimization algorithm
- neural network model
- high dimensional
- back propagation
- image reconstruction from projections
- fuzzy logic
- global optimization
- pattern recognition
- compression ratio
- compression scheme
- neural network is trained
- image compression
- artificial neural networks
- radial basis function
- compression algorithm
- optimization process
- training algorithm
- data structure
- feed forward neural networks
- sparse pca
- data sets