Not all tests were passed for update_parameters_with_momentum

Course Q&A Deep Learning Specialization Improving Deep Neural Networks: Hyperparameter tun
1

I’ve tried looking out for the error, but couldn’t catch one . Please help me to debug and identify what’s wrong with the code and why is it not passing all the test cases.

CODE :

GRADED FUNCTION: update_parameters_with_momentum

def update_parameters_with_momentum(parameters, grads, v, beta, learning_rate):
“”"
Update parameters using Momentum

Arguments:
parameters -- python dictionary containing your parameters:
                parameters['W' + str(l)] = Wl
                parameters['b' + str(l)] = bl
grads -- python dictionary containing your gradients for each parameters:
                grads['dW' + str(l)] = dWl
                grads['db' + str(l)] = dbl
v -- python dictionary containing the current velocity:
                v['dW' + str(l)] = ...
                v['db' + str(l)] = ...
beta -- the momentum hyperparameter, scalar
learning_rate -- the learning rate, scalar

Returns:
parameters -- python dictionary containing your updated parameters 
v -- python dictionary containing your updated velocities
"""

L = len(parameters) // 2 # number of layers in the neural networks

# Momentum update for each parameter
for l in range(1, L + 1):
    
    # (approx. 4 lines)
    # compute velocities
    # v["dW" + str(l)] = ...
    # v["db" + str(l)] = ...
    # update parameters
    # parameters["W" + str(l)] = ...
    # parameters["b" + str(l)] = ...
    # YOUR CODE STARTS HERE
    v["dW"+str(l)]=beta*v["dW"+str(l)] + (1- beta)*grads['dW'+str(l)]
    v["db"+str(l)]=beta*v["db" + str(l)] + (1- beta)*grads['dW'+str(l)]
    parameters["W" + str(l)] = parameters["W" + str(l)] - learning_rate*v["dW" + str(l)]
    parameters["b" + str(l)] = parameters["b" + str(l)] - learning_rate*v["db" + str(l)]
    
    # YOUR CODE ENDS HERE
    
return parameters, v

OUTPUT

W1 =
[[ 1.62544598 -0.61290114 -0.52907334]
[-1.07347112 0.86450677 -2.30085497]]
b1 =
[[ 1.74591238 1.74366704 1.74391017]
[-0.7617094 -0.76210776 -0.76052317]]
W2 =
[[ 0.31930698 -0.24990073 1.4627996 ]
[-2.05974396 -0.32173003 -0.38320915]
[ 1.13444069 -1.0998786 -0.1713109 ]]
b2 =
[[-0.87759053 -0.87838877 -0.87716676]
[ 0.0426105 0.04290092 0.04305895]
[ 0.58348646 0.58282788 0.58393252]]
v[“dW1”] =
[[-0.11006192 0.11447237 0.09015907]
[ 0.05024943 0.09008559 -0.06837279]]
v[“db1”] =
[[-0.11006192 0.11447237 0.09015907]
[ 0.05024943 0.09008559 -0.06837279]]
v[“dW2”] =
[[-0.02678881 0.05303555 -0.06916608]
[-0.03967535 -0.06871727 -0.08452056]
[-0.06712461 -0.00126646 -0.11173103]]
v[“db2”] = v[[-0.02678881 0.05303555 -0.06916608]
[-0.03967535 -0.06871727 -0.08452056]
[-0.06712461 -0.00126646 -0.11173103]]
1 Tests passed
2 Tests failed

AssertionError Traceback (most recent call last)
in
11 print(“v[“db2”] = v” + str(v[“db2”]))
12
—> 13 update_parameters_with_momentum_test(update_parameters_with_momentum)

~/work/release/W2A1/public_tests.py in update_parameters_with_momentum_test(target)
155 ]
156
→ 157 multiple_test(test_cases, target)
158
159 def initialize_adam_test(target):

/opt/conda/lib/python3.7/site-packages/dlai_tools/testing_utils.py in multiple_test(test_cases, target)
162 print(’\033[91m’, len(test_cases) - success, " Tests failed")
163 raise AssertionError(
→ 164 “Not all tests were passed for {}. Check your equations and avoid using global variables inside the function.”.format(target.name))

AssertionError: Not all tests were passed for update_parameters_with_momentum. Check your equations and avoid using global variables inside the function.W1 =
[[ 1.62544598 -0.61290114 -0.52907334]
[-1.07347112 0.86450677 -2.30085497]]
b1 =
[[ 1.74591238 1.74366704 1.74391017]
[-0.7617094 -0.76210776 -0.76052317]]
W2 =
[[ 0.31930698 -0.24990073 1.4627996 ]
[-2.05974396 -0.32173003 -0.38320915]
[ 1.13444069 -1.0998786 -0.1713109 ]]
b2 =
[[-0.87759053 -0.87838877 -0.87716676]
[ 0.0426105 0.04290092 0.04305895]
[ 0.58348646 0.58282788 0.58393252]]
v[“dW1”] =
[[-0.11006192 0.11447237 0.09015907]
[ 0.05024943 0.09008559 -0.06837279]]
v[“db1”] =
[[-0.11006192 0.11447237 0.09015907]
[ 0.05024943 0.09008559 -0.06837279]]
v[“dW2”] =
[[-0.02678881 0.05303555 -0.06916608]
[-0.03967535 -0.06871727 -0.08452056]
[-0.06712461 -0.00126646 -0.11173103]]
v[“db2”] = v[[-0.02678881 0.05303555 -0.06916608]
[-0.03967535 -0.06871727 -0.08452056]
[-0.06712461 -0.00126646 -0.11173103]]
1 Tests passed
2 Tests failed

AssertionError Traceback (most recent call last)
in
11 print(“v[“db2”] = v” + str(v[“db2”]))
12
—> 13 update_parameters_with_momentum_test(update_parameters_with_momentum)

~/work/release/W2A1/public_tests.py in update_parameters_with_momentum_test(target)
155 ]
156
→ 157 multiple_test(test_cases, target)
158
159 def initialize_adam_test(target):

/opt/conda/lib/python3.7/site-packages/dlai_tools/testing_utils.py in multiple_test(test_cases, target)
162 print(’\033[91m’, len(test_cases) - success, " Tests failed")
163 raise AssertionError(
→ 164 “Not all tests were passed for {}. Check your equations and avoid using global variables inside the function.”.format(target.name))

AssertionError: Not all tests were passed for update_parameters_with_momentum. Check your equations and avoid using global variables inside the function.

2

You have a copy paste error on this line.

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