Update README.md

README.md

@@ -1 +1,15 @@
-# Visualizing-and-Understanding-Convolutional-neural-networks
+# Visualizing-and-Understanding-Convolutional-neural-networks
+
+This is a straight from scratch implementation of paper "Visualizing and Understanding Convolutional neural networks"-Matthew D. Zeiler and Rob Fergus (https://cs.nyu.edu/~fergus/papers/zeilerECCV2014.pdf)
+
+This implementation is using keras with tensorflow backend.
+
+The implementation is mainly divided into two parts-
+1) Feature visualization with Deconvnet.
+2) Occlusion Sensitivity.
+
+**Part 1- Feature visualization with Deconvnet**
+ This is described in notebook "Feature visualization using Deconvnets in Keras". Here the term deconvolution refers to transpose           convolution.
+ Original image -
+
+