Added matplotlib dependency to blitz tutorial.

Author: BeniaminC

beginner_source/blitz/cifar10_tutorial.py

@@ -94,15 +94,12 @@
 import numpy as np
 
 # functions to show an image
-
-
 def imshow(img):
     img = img / 2 + 0.5     # unnormalize
     npimg = img.numpy()
     plt.imshow(np.transpose(npimg, (1, 2, 0)))
     plt.show()
 
-
 # get some random training images
 dataiter = iter(trainloader)
 images, labels = next(dataiter)

beginner_source/deep_learning_60min_blitz.rst

@@ -20,11 +20,12 @@ Goal of this tutorial:
 - Understand PyTorch’s Tensor library and neural networks at a high level.
 - Train a small neural network to classify images
 
-To run the tutorials below, make sure you have the `torch`_ and `torchvision`_
-packages installed.
+To run the tutorials below, make sure you have the `torch`_, `torchvision`_,
+and `matplotlib`_ packages installed.
 
 .. _torch: https://github.com/pytorch/pytorch
 .. _torchvision: https://github.com/pytorch/vision
+.. _matplotlib: https://github.com/matplotlib/matplotlib
 
 .. toctree::
    :hidden: