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Part VI: combining compressions
Model compression is generally performed by using quantization, low-rank approximation or pruning, for which various algorithms have been researched in recent years. -
Low-rank compression of neural nets: Learning the rank of each layer
Model compression is generally performed by using quantization, low-rank approximation or pruning, for which various algorithms have been researched in recent years. -
Part V: combining compressions
Model compression is generally performed by using quantization, low-rank approximation or pruning, for which various algorithms have been researched in recent years. -
Model compression as constrained optimization
Model compression is generally performed by using quantization, low-rank approximation or pruning, for which various algorithms have been researched in recent years.
