Skip to content

Commit

Permalink
fix broken link
Browse files Browse the repository at this point in the history
  • Loading branch information
Han Xiao committed Jan 11, 2018
1 parent 00279b9 commit d39d671
Show file tree
Hide file tree
Showing 3 changed files with 4 additions and 4 deletions.
2 changes: 1 addition & 1 deletion README.ja.md
Original file line number Diff line number Diff line change
Expand Up @@ -195,7 +195,7 @@ scikit-learn ベースの自動ベンチマーキング・システムを構築

#### クラスタリング
- [Xifeng Guo's implementation](https://github.com/XifengGuo/DEC-keras) of [Unsupervised Deep Embedding for Clustering Analysis (DEC)](http://proceedings.mlr.press/v48/xieb16.pdf)
- [Leland McInnes](@https://github.com/lmcinnes)'s [Uniform Manifold Approximation and Projection (UMAP)](https://github.com/lmcinnes/umap)
- [Leland McInnes's](https://github.com/lmcinnes) [Uniform Manifold Approximation and Projection (UMAP)](https://github.com/lmcinnes/umap)


#### ビデオチュートリアル
Expand Down
2 changes: 1 addition & 1 deletion README.md
Original file line number Diff line number Diff line change
Expand Up @@ -193,7 +193,7 @@ The table below collects the submitted benchmarks. Note that **we haven't yet te

#### Clustering
- [Xifeng Guo's implementation](https://github.com/XifengGuo/DEC-keras) of [Unsupervised Deep Embedding for Clustering Analysis (DEC)](http://proceedings.mlr.press/v48/xieb16.pdf)
- [Leland McInnes](@https://github.com/lmcinnes)'s [Uniform Manifold Approximation and Projection (UMAP)](https://github.com/lmcinnes/umap)
- [Leland McInnes's](https://github.com/lmcinnes) [Uniform Manifold Approximation and Projection (UMAP)](https://github.com/lmcinnes/umap)

#### Video Tutorial
*Machine Learning Meets Fashion* by Yufeng G @ Google Cloud
Expand Down
4 changes: 2 additions & 2 deletions README.zh-CN.md
Original file line number Diff line number Diff line change
Expand Up @@ -128,7 +128,7 @@ data = input_data.read_data_sets('data/fashion', source_url='http://fashion-mnis
- [C](https://stackoverflow.com/a/10409376)
- [C++](https://github.com/wichtounet/mnist)
- [Java](https://stackoverflow.com/a/8301949)
- [Python](https://pypi.python.org/pypi/python-mnist) and [this](https://pypi.python.org/pypi/mnist) and [this]((https://www.brine.io/fashion-mnist/train))
- [Python](https://pypi.python.org/pypi/python-mnist) and [this](https://pypi.python.org/pypi/mnist) and [this](https://www.brine.io/fashion-mnist/train)
- [Scala](http://mxnet.io/tutorials/scala/mnist.html)
- [Go](https://github.com/schuyler/neural-go/blob/master/mnist/mnist.go)
- [C#](https://jamesmccaffrey.wordpress.com/2013/11/23/reading-the-mnist-data-set-with-c/)
Expand Down Expand Up @@ -199,7 +199,7 @@ data = input_data.read_data_sets('data/fashion', source_url='http://fashion-mnis

#### 聚类
- [Xifeng Guo's implementation](https://github.com/XifengGuo/DEC-keras) of [Unsupervised Deep Embedding for Clustering Analysis (DEC)](http://proceedings.mlr.press/v48/xieb16.pdf)
- [Leland McInnes](@https://github.com/lmcinnes)'s [Uniform Manifold Approximation and Projection (UMAP)](https://github.com/lmcinnes/umap)
- [Leland McInnes's](https://github.com/lmcinnes) [Uniform Manifold Approximation and Projection (UMAP)](https://github.com/lmcinnes/umap)


#### 视频教程
Expand Down

0 comments on commit d39d671

Please sign in to comment.