updated recurrence.md

Author: aditkumar72

docs/src/models/recurrence.md

@@ -17,15 +17,15 @@ Wxh = randn(Float32, 5, 2)
 Whh = randn(Float32, 5, 5)
 b   = randn(Float32, 5)
 
-function rnn(h, x)
-  h = tanh.(Wxh * x .+ Whh * h .+ b)
-  return h, h
+function rnn_cell(h, x)
+    h = tanh.(Wxh * x .+ Whh * h .+ b)
+    return h, h
 end
 
 x = rand(Float32, 2) # dummy data
 h = rand(Float32, 5)  # initial hidden state
 
-h, y = rnn(h, x)
+h, y = rnn_cell(h, x)
 ```
 
 Notice how the above is essentially a `Dense` layer that acts on two inputs, `h` and `x`.