A correction in Why ResNets work

javedali99 · Feb 10, 2019 · 974f36d · 974f36d
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diff --git a/4- Convolutional Neural Networks/Readme.md b/4- Convolutional Neural Networks/Readme.md
@@ -462,7 +462,7 @@ Here is the course summary as given on the course [link](https://www.coursera.or
 
   - Hint: dimensions of z[l+2] and a[l] have to be the same in resNets. In case they have different dimensions what we put a matrix parameters (Which can be learned or fixed)
 
-    - `a[l+2] = g( z[l+2] + ws * a[l] ) # The added Ws should make the dimentions equal`
+    - `a[l+2] = g( z[l+2] + ws * a[l] ) # The added Ws should make the dimensions equal`
     - ws also can be a zero padding.
 
 - Using a skip-connection helps the gradient to backpropagate and thus helps you to train deeper networks