二值网络训练--A Empirical Study of Binary Neural Networks' Optimisation
A Empirical Study of Binary Neural Networks’ Optimisation ICLR2019 https://github.com/mi-lad/studying-binary-neural-networks 本文得到的几个结论如下： ADAM for optimising the objective, (2) not using early stoppin
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相关文章
- 1. 二值网络训练--Training Competitive Binary Neural Networks from Scratch
- 2. 二值网络--Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation
- 3. 二值网络--XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
- 4. 二值神经网络（Binary Neural Networks）最新综述
- 5. 二值神经网络（Binary Neural Network，BNN）
- 6. Applications of Graph Neural Networks
- 7. Local Binary Convolutional Neural Networks
- 8. An Empirical Study of Real-world Polymorphic Code Injection Attacks
- 9. 论文笔记：Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
- 10. 论文阅读：An Empirical Study of Spatial Attention Mechanisms in Deep Networks