Error in merge all function into model

[miniamisha]

Cost after iteration 0: 0.693147
Cost after iteration 100: 0.584508
Cost after iteration 200: 0.466949
Cost after iteration 300: 0.376007
Cost after iteration 400: 0.331463
Cost after iteration 500: 0.303273
Cost after iteration 600: 0.279880
Cost after iteration 700: 0.260042
Cost after iteration 800: 0.242941
Cost after iteration 900: 0.228004
Cost after iteration 1000: 0.214820
Cost after iteration 1100: 0.203078
Cost after iteration 1200: 0.192544
Cost after iteration 1300: 0.183033
Cost after iteration 1400: 0.174399
Cost after iteration 1500: 0.166521
Cost after iteration 1600: 0.159305
Cost after iteration 1700: 0.152667
Cost after iteration 1800: 0.146542
Cost after iteration 1900: 0.140872

ValueError Traceback (most recent call last)
in ()
----> 1 d = model(train_set_x, train_set_y, test_set_x, test_set_y, num_iterations = 2000, learning_rate = 0.005, print_cost = True)

in model(X_train, Y_train, X_test, Y_test, num_iterations, learning_rate, print_cost)
31
32 # Predict test/train set examples (≈ 2 lines of code)
---> 33 Y_prediction_test = predict(w,b,test_set_x)
34 Y_prediction_train = predict(w,b,train_set_x)
35

in predict(w, b, X)
16 m = X.shape[1]
17 Y_prediction = np.zeros((1,m))
---> 18 w = w.reshape(X.shape[0], 1)
19
20 # Compute vector "A" predicting the probabilities of a cat being present in the picture

ValueError: total size of new array must be unchanged

[JChungYS]

I am having the same problem.

[sugampath]

how to solve ?