Hello, I successfully completed week 4 assignment 1. Now I am stuck in assignment 2, I got the same results as given in expected in the case of a Two-layer neural network

Blockquote

parameters, costs = L_layer_model(train_x, train_y, layers_dims, num_iterations = 1, print_cost = False)

print("Cost after first iteration: " + str(costs[0]))

L_layer_model_test(L_layer_model)

Blockquote

Cost after iteration 0: 0.6950464961800915

Cost after first iteration: 0.6950464961800915

Cost after iteration 1: 0.7070709008912569

Cost after iteration 1: 0.7070709008912569

Cost after iteration 1: 0.7070709008912569

All tests passed.

I am getting this as output

But the values after running the 5.1

Cost after iteration 0: 0.6950464961800915

Cost after iteration 100: 0.5892596054583805

Cost after iteration 200: 0.5232609173622991

Cost after iteration 300: 0.4497686396221906

Cost after iteration 400: 0.4209002161883899

Cost after iteration 500: 0.37246403061745953

Cost after iteration 600: 0.3474205187020191

Cost after iteration 700: 0.31719191987370265

Cost after iteration 800: 0.2664377434774658

Cost after iteration 900: 0.21991432807842573

Cost after iteration 1000: 0.1435789889362377

Cost after iteration 1100: 0.4530921262322132

Cost after iteration 1200: 0.09499357670093511

Cost after iteration 1300: 0.08014128076781366

Cost after iteration 1400: 0.0694023400553646

Cost after iteration 1500: 0.060216640231745895

Cost after iteration 1600: 0.05327415758001879

Cost after iteration 1700: 0.04762903262098432

Cost after iteration 1800: 0.04297588879436867

Cost after iteration 1900: 0.03903607436513823

Cost after iteration 2000: 0.03568313638049028

Cost after iteration 2100: 0.032915263730546776

Cost after iteration 2200: 0.030472193059120623

Cost after iteration 2300: 0.028387859212946117

Cost after iteration 2400: 0.026615212372776077

Cost after iteration 2499: 0.024821292218353375

Slight change compared to the expected

Train accuracy = 0.99 whereas we should get 0.98

and Test accuracy 0.74 instead of 0.8

Can anyone help with this?