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 ?