【Paper Reading】Towards Accurate Binary Convolutional Neural
2017NIPS 大疆 論文地址：https://arxiv.org/abs/1711.11294 代碼地址：https://github.com/layog/Accurate-Binary-Convolution-Network 摘要 本文介紹一種新的二進制卷積神經網絡(CNNs)訓練方案- CNNs的權重和激活限制在{-1，+1}。衆所周知，使用二進制權值和激活可以極大地減少內存大小和訪問，並
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相關文章
- 1. Towards Accurate Binary Convolutional Neural Network
- 2. 【Paper Reading】Forward and Backward Information Retentionfor Accurate Binary Neural Networks
- 3. #Paper Reading# EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
- 4. Paper reading: MobileNet: Efficient Convolutional Neural Networks forMobile Vision Applications
- 5. Paper Reading: Slimmable Neural Networks
- 6. Paper reading (五十七)：MetaNN accurate classification of host phenotypes from metagenomic data using NN
- 7. Paper Reading -- CBAM: Convolutional Block Attention Module
- 8. Local Binary Convolutional Neural Networks
- 9. Paper Reading - Convolutional Sequence to Sequence Learning ( CoRR 2017 ) ★
- 10. 【Paper Reading】XNOR-Net