Merge pull request #7 from jayaneetha/patch-1

Change in L_model_backward function

Author: fanghao6666

py/Building your Deep Neural Network Step by Step v3.py

@@ -920,7 +920,7 @@ def L_model_backward(AL, Y, caches):
         # Inputs: "grads["dA" + str(l + 2)], caches". Outputs: "grads["dA" + str(l + 1)] , grads["dW" + str(l + 1)] , grads["db" + str(l + 1)] 
         ### START CODE HERE ### (approx. 5 lines)
         current_cache = caches[l]
-        dA_prev_temp, dW_temp, db_temp = linear_activation_backward(grads["dA" + str(L)], current_cache, activation = "relu")
+        dA_prev_temp, dW_temp, db_temp = linear_activation_backward(grads["dA" + str(l+1)], current_cache, activation = "relu")
         grads["dA" + str(l + 1)] = dA_prev_temp
         grads["dW" + str(l + 1)] = dW_temp
         grads["db" + str(l + 1)] = db_temp