W2_A1_Softmax_test(Softmax)_Test failed

Course Q&A Deep Learning Specialization Neural Networks and Deep Learning
1

Dear all friends hope you all are doing well.
I am facing a problem when I calculate the output for softmax here you can find the error type
Error: Wrong output
2 Tests passed
1 Tests failed

AssertionError Traceback (most recent call last)
in
3 print("softmax(x) = " + str(softmax(t_x)))
4
----> 5 softmax_test(softmax)

~/work/release/W2A1/public_tests.py in softmax_test(target)
195 ]
196
→ 197 test(test_cases, target)
198
199 def L1_test(target):

~/work/release/W2A1/test_utils.py in test(test_cases, target)
24 print(‘\033[92m’, success," Tests passed")
25 print(‘\033[91m’, len(test_cases) - success, " Tests failed")
—> 26 raise AssertionError(“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 softmax. Check your equations and avoid using global variables inside the function.

pleae help me out

regards
Saeed Ahmed

2

Check the instruction again. This is easy to implement. Maybe you are having a typo.

#(≈ 3 lines of code)
# Apply exp() element-wise to x. Use np.exp(...).
x_exp = ...

# Create a vector x_sum that sums each row of x_exp. Use np.sum(..., axis = 1, keepdims = True).
x_sum = ...
  
# Compute softmax(x) by dividing x_exp by x_sum. It should automatically use numpy broadcasting.
s = ...
3

Thaks alot for your hints brother

4

Thank you brother for your kind hints
regards