Merge pull request fastai#93 from allentfung/files

update all occurrences of www.platform.ai to be files.fast.ai
chriii · May 4, 2017 · ed1fb08 · ed1fb08
2 parents 70feb12 + 1594992
commit ed1fb08
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Showing 5 changed files with 7 additions and 7 deletions.
diff --git a/deeplearning1/nbs/lesson1.ipynb b/deeplearning1/nbs/lesson1.ipynb
@@ -543,7 +543,7 @@
    },
    "outputs": [],
    "source": [
-    "FILES_PATH = 'http://www.platform.ai/models/'; CLASS_FILE='imagenet_class_index.json'\n",
+    "FILES_PATH = 'http://files.fast.ai/models/'; CLASS_FILE='imagenet_class_index.json'\n",
     "# Keras' get_file() is a handy function that downloads files, and caches them for re-use later\n",
     "fpath = get_file(CLASS_FILE, FILES_PATH+CLASS_FILE, cache_subdir='models')\n",
     "with open(fpath) as f: class_dict = json.load(f)\n",

diff --git a/deeplearning1/nbs/resnet50.py b/deeplearning1/nbs/resnet50.py
@@ -25,7 +25,7 @@ class Resnet50():
 
 
     def __init__(self, size=(224,224), include_top=True):
-        self.FILE_PATH = 'http://www.platform.ai/models/'
+        self.FILE_PATH = 'http://files.fast.ai/models/'
         self.vgg_mean = np.array([123.68, 116.779, 103.939]).reshape((3,1,1))
         self.create(size, include_top)
         self.get_classes()
@@ -110,4 +110,4 @@ def fit(self, batches, val_batches, nb_epoch=1):
 
     def test(self, path, batch_size=8):
         test_batches = self.get_batches(path, shuffle=False, batch_size=batch_size, class_mode=None)
-        return test_batches, self.model.predict_generator(test_batches, test_batches.nb_sample)
+        return test_batches, self.model.predict_generator(test_batches, test_batches.nb_sample)
diff --git a/deeplearning1/nbs/vgg16.py b/deeplearning1/nbs/vgg16.py
@@ -28,7 +28,7 @@ class Vgg16():
 
 
     def __init__(self):
-        self.FILE_PATH = 'http://www.platform.ai/models/'
+        self.FILE_PATH = 'http://files.fast.ai/models/'
         self.create()
         self.get_classes()
 

diff --git a/deeplearning1/nbs/vgg16bn.py b/deeplearning1/nbs/vgg16bn.py
@@ -28,7 +28,7 @@ class Vgg16BN():
 
 
     def __init__(self, size=(224,224), include_top=True):
-        self.FILE_PATH = 'http://www.platform.ai/models/'
+        self.FILE_PATH = 'http://files.fast.ai/models/'
         self.create(size, include_top)
         self.get_classes()
 

diff --git a/deeplearning1/nbs/wordvectors.ipynb b/deeplearning1/nbs/wordvectors.ipynb
@@ -49,7 +49,7 @@
     "hidden": true
    },
    "source": [
-    "This section shows how we processed the original glove text files. However, there's no need for you to do this, since we provide the [pre-processed glove data](www.platform.ai/models/glove)."
+    "This section shows how we processed the original glove text files. However, there's no need for you to do this, since we provide the [pre-processed glove data](files.fast.ai/models/glove)."
    ]
   },
   {
@@ -99,7 +99,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "After you've downloaded the [pre-processed glove data](www.platform.ai/models/glove), you should use `tar -zxf` to untar them, and put them in the path that {res_path} points to. (If you don't have a great internet connection, feel free to only download the 50d version, since that's what we'll be using in class). \n",
+    "After you've downloaded the [pre-processed glove data](files.fast.ai/models/glove), you should use `tar -zxf` to untar them, and put them in the path that {res_path} points to. (If you don't have a great internet connection, feel free to only download the 50d version, since that's what we'll be using in class). \n",
     "\n",
     "Then the following function will return the word vectors as a matrix, the word list, and the mapping from word to index."
    ]