Hi, I am getting the following error on the Week 2 Assignment Exercise 8 - model. Please let me know what can I do to get rid of this error:

ValueError Traceback (most recent call last)

in

1 from public_tests import *

2

----> 3 model_test(model)

~/work/release/W2A2/public_tests.py in model_test(target)

113 y_test = np.array([0, 1, 0])

114

→ 115 d = target(X, Y, x_test, y_test, num_iterations=50, learning_rate=0.01)

116

117 assert type(d[‘costs’]) == list, f"Wrong type for d[‘costs’]. {type(d[‘costs’])} != list"

in model(X_train, Y_train, X_test, Y_test, num_iterations, learning_rate, print_cost)

37

38 w, b = initialize_with_zeros(2)

—> 39 params, grads, costs = optimize(w, b, X_train, Y_train, num_iterations, learning_rate, print_cost=False)

40

41 w=params[‘w’]

in optimize(w, b, X, Y, num_iterations, learning_rate, print_cost)

35 # grads, cost = …

36 # YOUR CODE STARTS HERE

—> 37 grads, cost = propagate(w, b, X, Y)

38

39 # YOUR CODE ENDS HERE

in propagate(w, b, X, Y)

33 # YOUR CODE STARTS HERE

34

—> 35 A = sigmoid (np.dot(w.T,X) +b)

36 cost = (-1/m)*(np.sum(np.multiply(Y,np.log(A))+((1-Y)*np.log(1-A))))

37

<**array_function** internals> in dot(*args, **kwargs)

ValueError: shapes (1,2) and (4,7) not aligned: 2 (dim 1) != 4 (dim 0)