论文翻译：XNOR-Net: ImageNet Classification Using BinaryConvolutional Neural Networks

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论文翻译：XNOR-Net: ImageNet Classification Using BinaryConvolutional Neural Networks

目录 Abstract 1 Introduction 2 Related Work 3 Binary Convolutional Neural Network 3.1 Binary-Weight-Networks 3.2 XNOR-Networks 4 Experiments 4.1 Efficiency Analysis 4.2 Image Classification 4.3 Ablation Studies 5 Conclusion 参考资料论文地址:http://ai2-website…

深度学习论文翻译解析（五）：Siamese Neural Networks for One-shot Image Recognition

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论文翻译：Conditional Random Fields as Recurrent Neural Networks

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训练技巧详解【含有部分代码】Bag of Tricks for Image Classification with Convolutional Neural Networks

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Bag of Tricks for Image Classification with Convolutional Neural Networks笔记

以下内容摘自<Bag of Tricks for Image Classification with Convolutional Neural Networks>. 1 高效训练 1.1 大batch训练当我们有一定资源后,当然希望能充分利用起来,所以通常会增加batch size来达到加速训练的效果.但是,有不少实验结果表明增大batch size可能降低收敛率,所以为了解决这一问题有人以下方法可供选择: 1.1.1 线性增加学习率一句话概括就是batch size增加多少倍,学习率也增…

深度学习论文翻译解析（十六）：Squeeze-and-Excitation Networks

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论文翻译：2020_FLGCNN: A novel fully convolutional neural network for end-to-end monaural speech enhancement with utterance-based objective functions

论文地址:FLGCNN:一种新颖的全卷积神经网络,用于基于话语的目标函数的端到端单耳语音增强论文代码:https://github.com/LXP-Never/FLGCCRN(非官方复现) 引用格式:Zhu Y, Xu X, Ye Z. FLGCNN: A novel fully convolutional neural network for end-to-end monaural speech enhancement with utterance-based objective funct…