C1_W3 _Assignment

Course Q&A Math for Machine Learning Linear Algebra for Machine Learning and Data Sc...
1

Single Perceptron Neural Networks for Linear Regression Assignment

getting below error exercise 4 in 2.3 the loop
shapes (1,1) and (30,1) not aligned: 1 (dim 1) != 30 (dim 0)
please guide me

2

Can you please tell me the line where you are getting the error?

Is it when computing Z? or in the assert?

Normally the error will say the line.

3

ValueError Traceback (most recent call last)
in
----> 1 Y_hat = forward_propagation(X, parameters)
2
3 print(Y_hat)

in forward_propagation(X, parameters)
19 ### START CODE HERE ### (~ 2 lines of code)
20 Z = np.dot(w, X) + b
—> 21 Y_hat = forward_propagation(X.T, parameters)
22 ### END CODE HERE ###
23

in forward_propagation(X, parameters)
18 # Implement Forward Propagation to calculate Z.
19 ### START CODE HERE ### (~ 2 lines of code)
—> 20 Z = np.dot(w, X) + b
21 Y_hat = forward_propagation(X.T, parameters)
22 ### END CODE HERE ###

<array_function internals> in dot(*args, **kwargs)

ValueError: shapes (1,1) and (30,1) not aligned: 1 (dim 1) != 30 (dim 0)

4

I AM GETTING ALL ERRORS WHEN I GO FOR GRADING BUT IT IS SHOWING ALL TESTS PASSED
ERROR
There was a problem compiling the code from your notebook. Details:
matmul: Input operand 1 has a mismatch in its core dimension 0, with gufunc signature (n?,k),(k,m?)->(n?,m?) (size 2 is different from 1)

I HOPE THERE Z A PROBLEM WITH COURSERA …

5

Dear @Somasekhar_Donthu

Please find my comments:

  1. I doubt there is an error in the coursera platform because the platform is the same for everybody and I am not getting any error as you can see in the following image:

image
image728×965 36.3 KB

However, everything is possible.

  1. Can you please try using np.matmul(W,X) + b instead of the dot product and tell me if you are getting the same error?

  2. The initial code defines W with upper case, however, I see you are using it with lower case. Can you please confirm if you change the source code? If so, can you please define W and b like this:

W = parameters[“W”]
b = parameters[“b”]

6

Not using np.matmul() was the issue

7

@Syed_Hassan_Raahim Awesome! It was my pleasure to help you my friend!