labels to float

Author: aamini

lab2/__init__.py

@@ -52,7 +52,7 @@ def __init__(self, data_path):
         print ("Loading data into memory...")
         sys.stdout.flush()
         self.images = self.cache['images'][:]
-        self.labels = self.cache['labels'][:]
+        self.labels = self.cache['labels'][:].astype(np.float32)
         self.image_dims = self.images.shape
         n_train_samples = self.image_dims[0]
 

lab2/util.py

@@ -21,13 +21,13 @@ def get_dist(pkgname):
 setup(
   name = 'mitdeeplearning',         # How you named your package folder (MyLib)
   packages = ['mitdeeplearning'],   # Chose the same as "name"
-  version = '0.4.3',      # Start with a small number and increase it with every change you make
+  version = '0.4.4',      # Start with a small number and increase it with every change you make
   license='MIT',        # Chose a license from here: https://help.github.com/articles/licensing-a-repository
   description = 'Official software labs for MIT Introduction to Deep Learning (http://introtodeeplearning.com)',   # Give a short description about your library
   author = 'Alexander Amini',                   # Type in your name
   author_email = '[email protected]',      # Type in your E-Mail
   url = 'http://introtodeeplearning.com',   # Provide either the link to your github or to your website
-  download_url = 'https://github.com/aamini/introtodeeplearning_labs/archive/v0.4.3.tar.gz',    # I explain this later on
+  download_url = 'https://github.com/aamini/introtodeeplearning_labs/archive/v0.4.4.tar.gz',    # I explain this later on
   keywords = ['deep learning', 'neural networks', 'tensorflow', 'introduction'],   # Keywords that define your package best
   install_requires=install_deps,
   classifiers=[