create_grid and release 3.0

mitdeeplearning/util.py

@@ -74,3 +74,19 @@ def plot(self, data):
       ipythondisplay.display(plt.gcf())
 
       self.tic = time.time()
+
+
+def create_grid_of_images(xs, size=(5,5)):
+    """ Combine a list of images into a single image grid by stacking them into an array of shape `size` """
+
+    grid = []
+    counter = 0
+    for i in range(size[0]):
+        row = []
+        for j in range(size[1]):
+          row.append(xs[counter])
+          counter += 1
+        row = np.hstack(row)
+        grid.append(row)
+    grid = np.vstack(grid)
+    return grid

setup.py

@@ -22,13 +22,13 @@ def get_dist(pkgname):
 setup(
   name = 'mitdeeplearning',         # How you named your package folder (MyLib)
   packages = ['mitdeeplearning'],   # Chose the same as "name"
-  version = '0.2.0',      # Start with a small number and increase it with every change you make
+  version = '0.3.0',      # 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/archive/v0.2.0.tar.gz',    # I explain this later on
+  download_url = 'https://github.com/aamini/introtodeeplearning/archive/v0.3.0.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=[