Murgio · December 28, 2017 20:56 · Jul 17, 2017 · Jul 17, 2017 · Jul 2, 2015 · May 29, 2015
diff --git a/char-rnn recipes.md b/char-rnn recipes.md
@@ -6,7 +6,7 @@ Thanks to  Andrej Karpathy for the great code! It's really easy to setup.
 
 The recipes I used for training the char-rnn are from a recipe collection called [ffts.com](http://www.ffts.com/recipes.htm)
 And here is the actual [zipped data (uncompressed ~35 MB)](http://www.ffts.com/recipes/lg/lg32965.zip) I used for training.
-(For future reference, it is also archived: [http://web.archive.org/web/20170619161312/http://www.ffts.com/recipes/lg/lg32965.zip](http://web.archive.org/web/20170619161312/http://www.ffts.com/recipes/lg/lg32965.zip))
+The ZIP is also [archived @ archive.org](http://web.archive.org/web/20170619161312/http://www.ffts.com/recipes/lg/lg32965.zip) in case the original links becomes invalid in the future.
 
 It seems to be in a format intended to be read by a program called Meal-Master, therefore you will see those lines repeated all over: 
 > Recipe via Meal-Master (tm) v8.05

diff --git a/char-rnn recipes.md b/char-rnn recipes.md
@@ -6,6 +6,7 @@ Thanks to  Andrej Karpathy for the great code! It's really easy to setup.
 
 The recipes I used for training the char-rnn are from a recipe collection called [ffts.com](http://www.ffts.com/recipes.htm)
 And here is the actual [zipped data (uncompressed ~35 MB)](http://www.ffts.com/recipes/lg/lg32965.zip) I used for training.
+(For future reference, it is also archived: [http://web.archive.org/web/20170619161312/http://www.ffts.com/recipes/lg/lg32965.zip](http://web.archive.org/web/20170619161312/http://www.ffts.com/recipes/lg/lg32965.zip))
 
 It seems to be in a format intended to be read by a program called Meal-Master, therefore you will see those lines repeated all over: 
 > Recipe via Meal-Master (tm) v8.05

diff --git a/char-rnn recipes readme.md → char-rnn recipes.md b/char-rnn recipes readme.md → char-rnn recipes.md
diff --git a/char-rnn recipes readme.md b/char-rnn recipes readme.md
@@ -15,5 +15,5 @@ It usually is also the beginning/end of a recipe.
 Note, that the generated recipes below are of course no real recipes you want to cook, the ingredients don't match up with the cooking descriptions, however they sometimes overlap coincidental ;)
 
 
-Whats interesting is to note is, that the neural net returns some nice bogus titles, categories an sometimes even bogus creators of the recipe at the end.
+Whats interesting is to note is, that the neural net returns some nice bogus titles, categories and sometimes even bogus creators of the recipe at the end.
 have fun cooking  (ha..)!
diff --git a/char-rnn recipes readme.md b/char-rnn recipes readme.md
@@ -1,6 +1,6 @@
-# neural net cooking recipes
-## do electric sheep dream of cooking?
-The recipes are sampled from a trained neural net.
+# do androids dream of cooking?
+
+The following recipes are sampled from a trained neural net.
 You can find the repo to train your own neural net here: https://github.com/karpathy/char-rnn
 Thanks to  Andrej Karpathy for the great code! It's really easy to setup.
 

diff --git a/char-rnn recipes readme.md b/char-rnn recipes readme.md
@@ -1,4 +1,5 @@
-# cooking recipes
+# neural net cooking recipes
+## do electric sheep dream of cooking?
 The recipes are sampled from a trained neural net.
 You can find the repo to train your own neural net here: https://github.com/karpathy/char-rnn
 Thanks to  Andrej Karpathy for the great code! It's really easy to setup.

diff --git a/char-rnn recipes readme.md b/char-rnn recipes readme.md
@@ -11,7 +11,7 @@ It seems to be in a format intended to be read by a program called Meal-Master,
 
 It usually is also the beginning/end of a recipe.
 
-Note, that tose recipes are of course no real recipes, the ingredients don't match up with the cooking descriptions, however they sometimes overlap coincidental ;)
+Note, that the generated recipes below are of course no real recipes you want to cook, the ingredients don't match up with the cooking descriptions, however they sometimes overlap coincidental ;)
 
 
 Whats interesting is to note is, that the neural net returns some nice bogus titles, categories an sometimes even bogus creators of the recipe at the end.

diff --git a/char-rnn recipes readme.md b/char-rnn recipes readme.md
@@ -3,8 +3,8 @@ The recipes are sampled from a trained neural net.
 You can find the repo to train your own neural net here: https://github.com/karpathy/char-rnn
 Thanks to  Andrej Karpathy for the great code! It's really easy to setup.
 
-The recipes I used for training the char-rnn are from: [](http://www.ffts.com/recipes.htm)
-And here is the [zipped file (uncompressed ~35 MB)](http://www.ffts.com/recipes/lg/lg32965.zip)
+The recipes I used for training the char-rnn are from a recipe collection called [ffts.com](http://www.ffts.com/recipes.htm)
+And here is the actual [zipped data (uncompressed ~35 MB)](http://www.ffts.com/recipes/lg/lg32965.zip) I used for training.
 
 It seems to be in a format intended to be read by a program called Meal-Master, therefore you will see those lines repeated all over: 
 > Recipe via Meal-Master (tm) v8.05

diff --git a/neural net cooking recipes.txt b/neural net cooking recipes.txt
diff --git a/char-rnn recipes readme.md b/char-rnn recipes readme.md
@@ -3,15 +3,16 @@ The recipes are sampled from a trained neural net.
 You can find the repo to train your own neural net here: https://github.com/karpathy/char-rnn
 Thanks to  Andrej Karpathy for the great code! It's really easy to setup.
 
-The recipes I trained the char-rnn with are from: [](http://www.ffts.com/recipes.htm)
+The recipes I used for training the char-rnn are from: [](http://www.ffts.com/recipes.htm)
 And here is the [zipped file (uncompressed ~35 MB)](http://www.ffts.com/recipes/lg/lg32965.zip)
 
 It seems to be in a format intended to be read by a program called Meal-Master, therefore you will see those lines repeated all over: 
 > Recipe via Meal-Master (tm) v8.05
 
 It usually is also the beginning/end of a recipe.
 
-.
 Note, that tose recipes are of course no real recipes, the ingredients don't match up with the cooking descriptions, however they sometimes overlap coincidental ;)
 
+
+Whats interesting is to note is, that the neural net returns some nice bogus titles, categories an sometimes even bogus creators of the recipe at the end.
 have fun cooking  (ha..)!
diff --git a/neural net cooking recipes.md → char-rnn recipes readme.md b/neural net cooking recipes.md → char-rnn recipes readme.md
diff --git a/gistfile1.txt → neural net cooking recipes.txt b/gistfile1.txt → neural net cooking recipes.txt
diff --git a/readme.md → neural net cooking recipes.md b/readme.md → neural net cooking recipes.md
diff --git a/gistfile1.txt b/gistfile1.txt
diff --git a/readme.md b/readme.md
@@ -0,0 +1,17 @@
+# cooking recipes
+The recipes are sampled from a trained neural net.
+You can find the repo to train your own neural net here: https://github.com/karpathy/char-rnn
+Thanks to  Andrej Karpathy for the great code! It's really easy to setup.
+
+The recipes I trained the char-rnn with are from: [](http://www.ffts.com/recipes.htm)
+And here is the [zipped file (uncompressed ~35 MB)](http://www.ffts.com/recipes/lg/lg32965.zip)
+
+It seems to be in a format intended to be read by a program called Meal-Master, therefore you will see those lines repeated all over: 
+> Recipe via Meal-Master (tm) v8.05
+
+It usually is also the beginning/end of a recipe.
+
+.
+Note, that tose recipes are of course no real recipes, the ingredients don't match up with the cooking descriptions, however they sometimes overlap coincidental ;)
+
+have fun cooking  (ha..)!