Hi, I am getting an error on the L_Model_ Backward function on the relu activation part. What is the index for l that needs to be used ?

IndexError Traceback (most recent call last)

in

1 t_AL, t_Y_assess, t_caches = L_model_backward_test_case()

----> 2 grads = L_model_backward(t_AL, t_Y_assess, t_caches)

3

4 print("dA0 = " + str(grads[‘dA0’]))

5 print("dA1 = " + str(grads[‘dA1’]))

in L_model_backward(AL, Y, caches)

59 current_cache=caches[1]

60

—> 61 dA_prev_temp,dW_temp,db_temp=linear_activation_backward(grads[“dA”+str(l+1)],current_cache, activation = “relu”)

62 grads[“dA”+str(l)]=dA_prev_temp

63 grads[“dW”+str(l+1)]=dW_temp

in linear_activation_backward(dA, cache, activation)

22 # dA_prev, dW, db = …

23 # YOUR CODE STARTS HERE

—> 24 dZ = relu_backward(dA, activation_cache)

25 dA_prev, dW, db = linear_backward(dZ, linear_cache)

26

~/work/release/W4A1/dnn_utils.py in relu_backward(dA, cache)

54

55 # When z <= 0, you should set dz to 0 as well.

—> 56 dZ[Z <= 0] = 0

57

58 assert (dZ.shape == Z.shape)

IndexError: boolean index did not match indexed array along dimension 0; dimension is 3 but corresponding boolean dimension is 1