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- Link to the classroom item you are referring to: [Practice Lab: Neural Networks for Binary Classification | Coursera]
- Description (include relevant info but please do not post solution code or your entire notebook):when i execute the test case i am getting the below errors:
- IndexError Traceback (most recent call last)
in
27
28 # Display the label above the image
—> 29 ax.set_title(f"{y[random_index,0]},{yhat}")
30 ax.set_axis_off()
31 fig.suptitle(“Label, yhat”, fontsize=16)
IndexError: too many indices for array: array is 1-dimensional, but 2 were indexed
this is in exercise 1
IndexError Traceback (most recent call last)
in
5 else:
6 yhat = 0
----> 7 print( "yhat = ", yhat, " label= ", y[0,0])
8 prediction = my_sequential(X[500], W1_tmp, b1_tmp, W2_tmp, b2_tmp, W3_tmp, b3_tmp )
9 if prediction >= 0.5:
IndexError: too many indices for array: array is 1-dimensional, but 2 were indexed
IndexError Traceback (most recent call last)
in
28
29 # Display the label above the image
—> 30 ax.set_title(f"{y[random_index,0]},{tf_yhat},{my_yhat}")
31 ax.set_axis_off()
32 fig.suptitle(“Label, yhat Tensorflow, yhat Numpy”, fontsize=16)
IndexError: too many indices for array: array is 1-dimensional, but 2 were indexed
this is from exercise 2
ValueError Traceback (most recent call last)
in
14 # Select rows corresponding to the random indices and
15 # reshape the image
—> 16 X_random_reshaped = X[random_index].reshape((20, 20)).T
17
18 # Display the image
ValueError: cannot reshape array of size 784 into shape (20,20)
this is from exercise 3