PUBEV-3632 Fixed broken links to github repos

angela0xdata · angela0xdata · commit d6e222f7d307 · 2016-11-01T09:52:15.000-07:00
Links in the Deep Learning tutorial now point directly to github rather
than to a broken relative path.
diff --git a/.gitignore b/.gitignore
@@ -1 +1,8 @@
-“/_book/”
+_book
+
+node_modules
+tutorials/deeplearning/.Rapp.history
+
+tutorials/deeplearning/.Rhistory
+
+H2OTutorialsBook.pdf
diff --git a/tutorials/deeplearning/README.md b/tutorials/deeplearning/README.md
@@ -14,11 +14,11 @@
 * Deep Learning Tips & Tricks
 
 ## Introduction
-This tutorial shows how a H2O [Deep Learning](http://en.wikipedia.org/wiki/Deep_learning) model can be used to do supervised classification and regression. A great tutorial about Deep Learning is given by Quoc Le [here](http://cs.stanford.edu/~quocle/tutorial1.pdf) and [here](http://cs.stanford.edu/~quocle/tutorial2.pdf). This tutorial covers usage of H2O from R. A python version of this tutorial will be available as well in a separate document. This file is available in plain R, R markdown and regular markdown formats, and the plots are available as PDF files. All documents are available [on Github](.).
+This tutorial shows how a H2O [Deep Learning](http://en.wikipedia.org/wiki/Deep_learning) model can be used to do supervised classification and regression. A great tutorial about Deep Learning is given by Quoc Le [here](http://cs.stanford.edu/~quocle/tutorial1.pdf) and [here](http://cs.stanford.edu/~quocle/tutorial2.pdf). This tutorial covers usage of H2O from R. A python version of this tutorial will be available as well in a separate document. This file is available in plain R, R markdown and regular markdown formats, and the plots are available as PDF files. All documents are available [on Github](https://github.com/h2oai/h2o-tutorials/tree/master/tutorials/deeplearning).
 
 If run from plain R, execute R in the directory of this script. If run from RStudio, be sure to setwd() to the location of this script. h2o.init() starts H2O in R's current working directory. h2o.importFile() looks for files from the perspective of where H2O was started.
 
-More examples and explanations can be found in our [H2O Deep Learning booklet](http://h2o.ai/resources/) and on our [H2O Github Repository](http://github.com/h2oai/h2o-3/). The PDF slide deck can be found [on Github](./H2ODeepLearning.pdf).
+More examples and explanations can be found in our [H2O Deep Learning booklet](http://h2o.ai/resources/) and on our [H2O Github Repository](http://github.com/h2oai/h2o-3/). The PDF slide deck can be found [on Github](https://github.com/h2oai/h2o-tutorials/tree/master/tutorials/deeplearning/H2ODeepLearning.pdf).
 
 ### H2O R Package
 
diff --git a/tutorials/deeplearning/deeplearning.R b/tutorials/deeplearning/deeplearning.R
@@ -14,11 +14,11 @@
 #* Deep Learning Tips & Tricks
 #
 ### Introduction
-#This tutorial shows how a H2O [Deep Learning](http://en.wikipedia.org/wiki/Deep_learning) model can be used to do supervised classification and regression. A great tutorial about Deep Learning is given by Quoc Le [here](http://cs.stanford.edu/~quocle/tutorial1.pdf) and [here](http://cs.stanford.edu/~quocle/tutorial2.pdf). This tutorial covers usage of H2O from R. A python version of this tutorial will be available as well in a separate document. This file is available in plain R, R markdown and regular markdown formats, and the plots are available as PDF files. All documents are available [on Github](.).
+#This tutorial shows how a H2O [Deep Learning](http://en.wikipedia.org/wiki/Deep_learning) model can be used to do supervised classification and regression. A great tutorial about Deep Learning is given by Quoc Le [here](http://cs.stanford.edu/~quocle/tutorial1.pdf) and [here](http://cs.stanford.edu/~quocle/tutorial2.pdf). This tutorial covers usage of H2O from R. A python version of this tutorial will be available as well in a separate document. This file is available in plain R, R markdown and regular markdown formats, and the plots are available as PDF files. All documents are available [on Github](https://github.com/h2oai/h2o-tutorials/tree/master/tutorials/deeplearning/).
 #
 #If run from plain R, execute R in the directory of this script. If run from RStudio, be sure to setwd() to the location of this script. h2o.init() starts H2O in R's current working directory. h2o.importFile() looks for files from the perspective of where H2O was started.
 #
-#More examples and explanations can be found in our [H2O Deep Learning booklet](http://h2o.ai/resources/) and on our [H2O Github Repository](http://github.com/h2oai/h2o-3/). The PDF slide deck can be found [on Github](./H2ODeepLearning.pdf).
+#More examples and explanations can be found in our [H2O Deep Learning booklet](http://h2o.ai/resources/) and on our [H2O Github Repository](http://github.com/h2oai/h2o-3/). The PDF slide deck can be found [on Github](https://github.com/h2oai/h2o-tutorials/tree/master/tutorials/deeplearning/H2ODeepLearning.pdf).
 #
 #### H2O R Package
 #
diff --git a/tutorials/deeplearning/deeplearning.Rmd b/tutorials/deeplearning/deeplearning.Rmd
@@ -14,11 +14,11 @@
 * Deep Learning Tips & Tricks
 
 ## Introduction
-This tutorial shows how a H2O [Deep Learning](http://en.wikipedia.org/wiki/Deep_learning) model can be used to do supervised classification and regression. A great tutorial about Deep Learning is given by Quoc Le [here](http://cs.stanford.edu/~quocle/tutorial1.pdf) and [here](http://cs.stanford.edu/~quocle/tutorial2.pdf). This tutorial covers usage of H2O from R. A python version of this tutorial will be available as well in a separate document. This file is available in plain R, R markdown and regular markdown formats, and the plots are available as PDF files. All documents are available [on Github](.).
+This tutorial shows how a H2O [Deep Learning](http://en.wikipedia.org/wiki/Deep_learning) model can be used to do supervised classification and regression. A great tutorial about Deep Learning is given by Quoc Le [here](http://cs.stanford.edu/~quocle/tutorial1.pdf) and [here](http://cs.stanford.edu/~quocle/tutorial2.pdf). This tutorial covers usage of H2O from R. A python version of this tutorial will be available as well in a separate document. This file is available in plain R, R markdown and regular markdown formats, and the plots are available as PDF files. All documents are available [on Github](https://github.com/h2oai/h2o-tutorials/tree/master/tutorials/deeplearning/).
 
 If run from plain R, execute R in the directory of this script. If run from RStudio, be sure to setwd() to the location of this script. h2o.init() starts H2O in R's current working directory. h2o.importFile() looks for files from the perspective of where H2O was started.
 
-More examples and explanations can be found in our [H2O Deep Learning booklet](http://h2o.ai/resources/) and on our [H2O Github Repository](http://github.com/h2oai/h2o-3/). The PDF slide deck can be found [on Github](./H2ODeepLearning.pdf).
+More examples and explanations can be found in our [H2O Deep Learning booklet](http://h2o.ai/resources/) and on our [H2O Github Repository](http://github.com/h2oai/h2o-3/). The PDF slide deck can be found [on Github](https://github.com/h2oai/h2o-tutorials/tree/master/tutorials/deeplearning/H2ODeepLearning.pdf).
 
 ### H2O R Package
 
diff --git a/tutorials/deeplearning/deeplearning.md b/tutorials/deeplearning/deeplearning.md
@@ -14,11 +14,11 @@
 * Deep Learning Tips & Tricks
 
 ## Introduction
-This tutorial shows how a H2O [Deep Learning](http://en.wikipedia.org/wiki/Deep_learning) model can be used to do supervised classification and regression. A great tutorial about Deep Learning is given by Quoc Le [here](http://cs.stanford.edu/~quocle/tutorial1.pdf) and [here](http://cs.stanford.edu/~quocle/tutorial2.pdf). This tutorial covers usage of H2O from R. A python version of this tutorial will be available as well in a separate document. This file is available in plain R, R markdown and regular markdown formats, and the plots are available as PDF files. All documents are available [on Github](.).
+This tutorial shows how a H2O [Deep Learning](http://en.wikipedia.org/wiki/Deep_learning) model can be used to do supervised classification and regression. A great tutorial about Deep Learning is given by Quoc Le [here](http://cs.stanford.edu/~quocle/tutorial1.pdf) and [here](http://cs.stanford.edu/~quocle/tutorial2.pdf). This tutorial covers usage of H2O from R. A python version of this tutorial will be available as well in a separate document. This file is available in plain R, R markdown and regular markdown formats, and the plots are available as PDF files. All documents are available [on Github](https://github.com/h2oai/h2o-tutorials/tree/master/tutorials/deeplearning).
 
 If run from plain R, execute R in the directory of this script. If run from RStudio, be sure to setwd() to the location of this script. h2o.init() starts H2O in R's current working directory. h2o.importFile() looks for files from the perspective of where H2O was started.
 
-More examples and explanations can be found in our [H2O Deep Learning booklet](http://h2o.ai/resources/) and on our [H2O Github Repository](http://github.com/h2oai/h2o-3/). The PDF slide deck can be found [on Github](./H2ODeepLearning.pdf).
+More examples and explanations can be found in our [H2O Deep Learning booklet](http://h2o.ai/resources/) and on our [H2O Github Repository](http://github.com/h2oai/h2o-3/). The PDF slide deck can be found [on Github](https://github.com/h2oai/h2o-tutorials/tree/master/tutorials/deeplearning/H2ODeepLearning.pdf).
 
 ### H2O R Package
 
diff --git a/tutorials/deeplearning/deeplearning.py b/tutorials/deeplearning/deeplearning.py
@@ -2,7 +2,7 @@
 # coding: utf-8
 
 # # Introduction
-# This tutorial shows how a H2O [Deep Learning](http://en.wikipedia.org/wiki/Deep_learning) model can be used to do supervised classification and regression. This tutorial covers usage of H2O from Python. An R version of this tutorial will be available as well in a separate document. This file is available in plain R, R markdown, regular markdown, plain Python and iPython Notebook formats, and the plots are available as PDF files. All documents are available [on Github](.). More examples and explanations can be found in our [H2O Deep Learning booklet](http://h2o.ai/resources/) and on our [H2O Github Repository](http://github.com/h2oai/h2o-3/).
+# This tutorial shows how a H2O [Deep Learning](http://en.wikipedia.org/wiki/Deep_learning) model can be used to do supervised classification and regression. This tutorial covers usage of H2O from Python. An R version of this tutorial will be available as well in a separate document. This file is available in plain R, R markdown, regular markdown, plain Python and iPython Notebook formats, and the plots are available as PDF files. All documents are available [on Github](https://github.com/h2oai/h2o-tutorials/tree/master/tutorials/deeplearning). More examples and explanations can be found in our [H2O Deep Learning booklet](http://h2o.ai/resources/) and on our [H2O Github Repository](http://github.com/h2oai/h2o-3/). The PDF slide deck can be found [on Github](https://github.com/h2oai/h2o-tutorials/tree/master/tutorials/deeplearning/H2ODeepLearning.pdf).
 
 # ### H2O Python Module
 # 

Original file line number	Diff line number	Diff line change
`@@ -14,11 +14,11 @@`
`14`	`14`	`#* Deep Learning Tips & Tricks`
`15`	`15`	`#`
`16`	`16`	`### Introduction`
`17`		-#This tutorial shows how a H2O [Deep Learning](http://en.wikipedia.org/wiki/Deep_learning) model can be used to do supervised classification and regression. A great tutorial about Deep Learning is given by Quoc Le [here](http://cs.stanford.edu/~quocle/tutorial1.pdf) and [here](http://cs.stanford.edu/~quocle/tutorial2.pdf). This tutorial covers usage of H2O from R. A python version of this tutorial will be available as well in a separate document. This file is available in plain R, R markdown and regular markdown formats, and the plots are available as PDF files. All documents are available [on Github](.).
	`17`	+#This tutorial shows how a H2O [Deep Learning](http://en.wikipedia.org/wiki/Deep_learning) model can be used to do supervised classification and regression. A great tutorial about Deep Learning is given by Quoc Le [here](http://cs.stanford.edu/~quocle/tutorial1.pdf) and [here](http://cs.stanford.edu/~quocle/tutorial2.pdf). This tutorial covers usage of H2O from R. A python version of this tutorial will be available as well in a separate document. This file is available in plain R, R markdown and regular markdown formats, and the plots are available as PDF files. All documents are available [on Github](https://github.com/h2oai/h2o-tutorials/tree/master/tutorials/deeplearning/).
`18`	`18`	`#`
`19`	`19`	`#If run from plain R, execute R in the directory of this script. If run from RStudio, be sure to setwd() to the location of this script. h2o.init() starts H2O in R's current working directory. h2o.importFile() looks for files from the perspective of where H2O was started.`
`20`	`20`	`#`
`21`		`-#More examples and explanations can be found in our [H2O Deep Learning booklet](http://h2o.ai/resources/) and on our [H2O Github Repository](http://github.com/h2oai/h2o-3/). The PDF slide deck can be found [on Github](./H2ODeepLearning.pdf).`
	`21`	`+#More examples and explanations can be found in our [H2O Deep Learning booklet](http://h2o.ai/resources/) and on our [H2O Github Repository](http://github.com/h2oai/h2o-3/). The PDF slide deck can be found [on Github](https://github.com/h2oai/h2o-tutorials/tree/master/tutorials/deeplearning/H2ODeepLearning.pdf).`
`22`	`22`	`#`
`23`	`23`	`#### H2O R Package`
`24`	`24`	`#`
Original file line number	Diff line number	Diff line change
`@@ -2,7 +2,7 @@`
`2`	`2`	`# coding: utf-8`
`3`	`3`
`4`	`4`	`# # Introduction`
`5`		-# This tutorial shows how a H2O [Deep Learning](http://en.wikipedia.org/wiki/Deep_learning) model can be used to do supervised classification and regression. This tutorial covers usage of H2O from Python. An R version of this tutorial will be available as well in a separate document. This file is available in plain R, R markdown, regular markdown, plain Python and iPython Notebook formats, and the plots are available as PDF files. All documents are available [on Github](.). More examples and explanations can be found in our [H2O Deep Learning booklet](http://h2o.ai/resources/) and on our [H2O Github Repository](http://github.com/h2oai/h2o-3/).
	`5`	+# This tutorial shows how a H2O [Deep Learning](http://en.wikipedia.org/wiki/Deep_learning) model can be used to do supervised classification and regression. This tutorial covers usage of H2O from Python. An R version of this tutorial will be available as well in a separate document. This file is available in plain R, R markdown, regular markdown, plain Python and iPython Notebook formats, and the plots are available as PDF files. All documents are available [on Github](https://github.com/h2oai/h2o-tutorials/tree/master/tutorials/deeplearning). More examples and explanations can be found in our [H2O Deep Learning booklet](http://h2o.ai/resources/) and on our [H2O Github Repository](http://github.com/h2oai/h2o-3/). The PDF slide deck can be found [on Github](https://github.com/h2oai/h2o-tutorials/tree/master/tutorials/deeplearning/H2ODeepLearning.pdf).
`6`	`6`
`7`	`7`	`# ### H2O Python Module`
`8`	`8`	`#`