From 5b05f62943d8d49619fb1a96cd0f5a283f95947b Mon Sep 17 00:00:00 2001 From: frombeijingwithlove Date: Thu, 7 Sep 2017 15:24:41 +0800 Subject: [PATCH] Update README.md --- README.md | 7 ------- 1 file changed, 7 deletions(-) diff --git a/README.md b/README.md index 2d82280..1ffd978 100644 --- a/README.md +++ b/README.md @@ -15,17 +15,10 @@ ## 代码快速指引 [第五章：numpy、matplotlib可视化的例子](https://github.com/frombeijingwithlove/dlcv_for_beginners/tree/master/chap5) - [第六章：物体检测标注小工具和本地数据增强小工具](https://github.com/frombeijingwithlove/dlcv_for_beginners/tree/master/chap6) - [第七章：二维平面分类，分别基于Caffe和MXNet](https://github.com/frombeijingwithlove/dlcv_for_beginners/tree/master/chap7) - [第八章：MNIST分类，分别基于Caffe和MXNet](https://github.com/frombeijingwithlove/dlcv_for_beginners/tree/master/chap8) - [第九章：基于Caffe回归图像混乱程度，及卷积核可视化](https://github.com/frombeijingwithlove/dlcv_for_beginners/tree/master/chap9)   - [第十章：从ImageNet预训练模型进行迁移学习美食分类模型，及模型类别响应图可视化，基于Caffe](https://github.com/frombeijingwithlove/dlcv_for_beginners/tree/master/chap10) - [第十二章：用MNIST训练Siamese网络，基于Caffe](https://github.com/frombeijingwithlove/dlcv_for_beginners/tree/master/chap12) - [书中未包含杂七杂八：包括制造对抗样本(Caffe)、二维GAN及训练过程可视化(PyTorch)、给色情图片自动打马赛克(Caffe)、模型融合(Caffe)、U-Net图像分割(PyTorch)](https://github.com/frombeijingwithlove/dlcv_for_beginners/tree/master/random_bonus)