typo: "espose" -> "expose"

README.md

@@ -1,5 +1,5 @@
 # Sample code for the Class Activation Mapping
-We propose a simple technique to espose the implicit attention of Convolutional Neural Networks on the image. It highlights the most informative image regions relevant to the predicted class. You could get attention-based model instantly by tweaking your own CNN a little bit more. The paper is published at [CVPR'16](http://arxiv.org/pdf/1512.04150.pdf).
+We propose a simple technique to expose the implicit attention of Convolutional Neural Networks on the image. It highlights the most informative image regions relevant to the predicted class. You could get attention-based model instantly by tweaking your own CNN a little bit more. The paper is published at [CVPR'16](http://arxiv.org/pdf/1512.04150.pdf).
 
 The framework of the Class Activation Mapping is as below:
 ![Framework](http://cnnlocalization.csail.mit.edu/framework.jpg)