I am working at Exercise 1 and finish it but then I find the blue button on the right corner of Jupiter NB page and submit my assigment1 3 times. The result is bellow you are graded Exercise 2
[ValidateApp | INFO] Validating ‘/home/jovyan/work/submitted/courseraLearner/W2A1/Python_Basics_with_Numpy.ipynb’
[ValidateApp | INFO] Executing notebook with kernel: python3
Tests failed on 8 cell(s)! These tests could be hidden. Please check your submission.
The following cell failed:
print("basic_sigmoid(1) = " + str(basic_sigmoid(1)))
basic_sigmoid_test(basic_sigmoid)
The error was:
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
<ipython-input-4-41d37f82dbf3> in <module>
----> 1 print("basic_sigmoid(1) = " + str(basic_sigmoid(1)))
2
3 basic_sigmoid_test(basic_sigmoid)
<ipython-input-3-a5e48d617d04> in basic_sigmoid(x)
21 # YOUR CODE ENDS HERE
22
---> 23 return s
NameError: name 's' is not defined
==========================================================================================
The following cell failed:
t_x = np.array([1, 2, 3])
print("sigmoid(t_x) = " + str(sigmoid(t_x)))
sigmoid_test(sigmoid)
The error was:
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
<ipython-input-9-51251e2b44ae> in <module>
1 t_x = np.array([1, 2, 3])
----> 2 print("sigmoid(t_x) = " + str(sigmoid(t_x)))
3
4 sigmoid_test(sigmoid)
<ipython-input-8-124fd7e0f21e> in sigmoid(x)
19 # YOUR CODE ENDS HERE
20
---> 21 return s
NameError: name 's' is not defined
==========================================================================================
The following cell failed:
t_x = np.array([1, 2, 3])
print ("sigmoid_derivative(t_x) = " + str(sigmoid_derivative(t_x)))
sigmoid_derivative_test(sigmoid_derivative)
The error was:
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
<ipython-input-11-fa7ab0e756fc> in <module>
1 t_x = np.array([1, 2, 3])
----> 2 print ("sigmoid_derivative(t_x) = " + str(sigmoid_derivative(t_x)))
3
4 sigmoid_derivative_test(sigmoid_derivative)
<ipython-input-10-0f41f9ee8008> in sigmoid_derivative(x)
21 # YOUR CODE ENDS HERE
22
---> 23 return ds
NameError: name 'ds' is not defined
==========================================================================================
The following cell failed:
# This is a 3 by 3 by 2 array, typically images will be (num_px_x, num_px_y,3) wher...
t_image = np.array([[[ 0.67826139, 0.29380381],
[ 0.90714982, 0.52835647],
[ 0.4215251 , 0.45017551]],
[[ 0.92814219, 0.96677647],
[ 0.85304703, 0.52351845],
[ 0.19981397, 0.27417313]],
[[ 0.60659855, 0.00533165],
[ 0.10820313, 0.49978937],
[ 0.34144279, 0.94630077]]])
print ("image2vector(image) = " + str(image2vector(t_image)))
image2vector_test(image2vector)
The error was:
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
<ipython-input-13-333007a11e42> in <module>
12 [ 0.34144279, 0.94630077]]])
13
---> 14 print ("image2vector(image) = " + str(image2vector(t_image)))
15
16 image2vector_test(image2vector)
<ipython-input-12-aeadfa128596> in image2vector(image)
17 # YOUR CODE ENDS HERE
18
---> 19 return v
NameError: name 'v' is not defined
==========================================================================================
The following cell failed:
x = np.array([[0, 3, 4],
[1, 6, 4]])
print("normalizeRows(x) = " + str(normalize_rows(x)))
normalizeRows_test(normalize_rows)
The error was:
---------------------------------------------------------------------------
AssertionError Traceback (most recent call last)
<ipython-input-15-7c7c8401963e> in <module>
3 print("normalizeRows(x) = " + str(normalize_rows(x)))
4
----> 5 normalizeRows_test(normalize_rows)
~/work/submitted/courseraLearner/W2A1/public_tests.py in normalizeRows_test(target)
162 ]
163
--> 164 test(test_cases, target)
165
166 def softmax_test(target):
~/work/submitted/courseraLearner/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 ...
AssertionError: Not all tests were passed for normalize_rows. Check your equations ...
==========================================================================================
The following cell failed:
t_x = np.array([[9, 2, 5, 0, 0],
[7, 5, 0, 0 ,0]])
print("softmax(x) = " + str(softmax(t_x)))
softmax_test(softmax)
The error was:
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
<ipython-input-17-589a35b2026d> in <module>
1 t_x = np.array([[9, 2, 5, 0, 0],
2 [7, 5, 0, 0 ,0]])
----> 3 print("softmax(x) = " + str(softmax(t_x)))
4
5 softmax_test(softmax)
<ipython-input-16-96ffcfc4e14a> in softmax(x)
28 # YOUR CODE ENDS HERE
29
---> 30 return s
NameError: name 's' is not defined
==========================================================================================
The following cell failed:
yhat = np.array([.9, 0.2, 0.1, .4, .9])
y = np.array([1, 0, 0, 1, 1])
print("L1 = " + str(L1(yhat, y)))
L1_test(L1)
The error was:
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
<ipython-input-21-3f77e39d7fb5> in <module>
1 yhat = np.array([.9, 0.2, 0.1, .4, .9])
2 y = np.array([1, 0, 0, 1, 1])
----> 3 print("L1 = " + str(L1(yhat, y)))
4
5 L1_test(L1)
<ipython-input-20-d6f9496ada2a> in L1(yhat, y)
18 # YOUR CODE ENDS HERE
19
---> 20 return loss
NameError: name 'loss' is not defined
==========================================================================================
The following cell failed:
yhat = np.array([.9, 0.2, 0.1, .4, .9])
y = np.array([1, 0, 0, 1, 1])
print("L2 = " + str(L2(yhat, y)))
L2_test(L2)
The error was:
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
<ipython-input-23-8bbdf5303d2e> in <module>
2 y = np.array([1, 0, 0, 1, 1])
3
----> 4 print("L2 = " + str(L2(yhat, y)))
5
6 L2_test(L2)
<ipython-input-22-2adae5a1fa44> in L2(yhat, y)
18 # YOUR CODE ENDS HERE
19
---> 20 return loss
NameError: name 'loss' is not defined
What must I do to solving this problem ?