import numpy lab2

Author: aamini

mitdeeplearning/util.py

@@ -2,6 +2,7 @@
 import tensorflow as tf
 import time
 import progressbar
+import numpy as np
 
 from IPython import display as ipythondisplay
 from string import Formatter
@@ -21,18 +22,20 @@ def plot_sample(x,y,vae):
     plt.figure(figsize=(2,1))
     plt.subplot(1, 2, 1)
 
-    idx = np.where(y.numpy()==1)[0][0]
+    idx = np.where(y==1)[0][0]
     plt.imshow(x[idx])
     plt.grid(False)
 
     plt.subplot(1, 2, 2)
     _, _, _, recon = vae(x)
+    recon = np.clip(recon, 0, 1)
     plt.imshow(recon[idx])
     plt.grid(False)
 
     plt.show()
 
 
+
 class LossHistory:
   def __init__(self, smoothing_factor=0.0):
     self.alpha = smoothing_factor

setup.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 = '0.4.5',      # Start with a small number and increase it with every change you make
+  version = '0.4.6',      # 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/v0.4.5.tar.gz',    # I explain this later on
+  download_url = 'https://github.com/aamini/introtodeeplearning_labs/archive/v0.4.6.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=[