deep compression:compressing deep neural networks with pruning,trained quantization and huffman codi
deep compression:compressing deep neural networks with pruning,trained quantization and huffman coding 摘要 神经网络是计算密集型和内存密集型的，这使得它们很难部署在硬件资源有限的嵌入式系统上。为了解决这个限制，我们引入了“深度压缩”，这是一个三阶段的管道:修剪、训练量化和霍夫曼编码，它们共同工作
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相关文章
- 1. Deep Compression : Compressing Deep Neual Networks With Pruning, Trained Quantization And Huffman Co
- 2. Compression Deep Neural Networks With Pruning, Trained Quantization And Huffman Coding
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- 4. 2018-22Deep Compression: Compression Deep Neural Networks With Pruning, Trained Quantization And...
- 5. 【Comprssion】《Deep Compression：Compressing Deep Neural Networks with Pruning，Trained QuantizationXXX》
- 6. 深度学习（六十九）darknet 实现实验 Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffma
- 7. Learning Accurate Low-Bit Deep Neural Networks with Stochastic Quantization
- 8. Neural Networks and Deep Learning -- Class 4: Deep Neural Networks
- 9. Neural Networks and Deep Learning
- 10. Channel Pruning for Accelerating Very Deep Neural Networks