【2】Model Compression As Constrained Optimization, with Application to Neural Nets. 2017
文章地址: https://arxiv.org/pdf/1707.01209.pdf Part I: general framework. We give a general formulation of model compression as constrained optimization. Related work. Four categories of model compression
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相關文章
- 1. Constrained Optimization
- 2. [EMNLP2017]End-to-End Neural Relation Extraction with Global Optimization
- 3. Convolutional Neural Networks: Application
- 4. CHAPTER 1 Using neural nets to recognize handwritten digits
- 5. 7.3 Constrained optimization (條件優化)
- 6. 網絡壓縮論文集(network compression)
- 7. How to Implement Neural Networks with TensorFlow
- 8. Training with Quantization Noise for Extreme Model Compression
- 9. Paper：Sequence to Sequence Learning with Neural Networks
- 10. When to Trust Your Model: Model-Based Policy Optimization