VGG：Very Deep Convolutional Networks for Large-Scale Image Recognition阅读笔记
论文原文：Very Deep Convolutional Networks forLarge-Scale Image Recognition网络 网络模型名字：VGG-1六、VGG-19函数 一、简介 测试 2014年ImageNet亚军。本文主要研究了卷积神经网络深度对大尺度图像识别精度的影响。在现有网络结构的基础上，不断增长3*3卷积核，当深度增长到16-19层时，识别效果有较大提高，
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相关文章
- 1. 论文阅读笔记--VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION
- 2. 《Very deep convolutional networks for large-scale image recognition》阅后笔记
- 3. Deep Residual Learning for Image Recognition阅读笔记
- 4. 论文阅读——VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION
- 5. 论文阅读：VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION（VGG）
- 6. 《Very Deep Convolutional Networks for Large-Scale Image Recognition》论文阅读
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- 8. 《Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition》阅读笔记
- 9. VGG--VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION
- 10. VGG——Very deep convolutional networks for large-scale image recognition