Incorrect result for Week3 Q6

Course Q&A Machine Learning Specialization Advanced Learning Algorithms
1

UNQ_C6

def compute_gradient_reg(X, y, w, b, lambda_ = 1):
“”"
Computes the gradient for logistic regression with regularization

Args:
  X : (ndarray Shape (m,n)) data, m examples by n features
  y : (ndarray Shape (m,))  target value 
  w : (ndarray Shape (n,))  values of parameters of the model      
  b : (scalar)              value of bias parameter of the model
  lambda_ : (scalar,float)  regularization constant
Returns
  dj_db : (scalar)             The gradient of the cost w.r.t. the parameter b. 
  dj_dw : (ndarray Shape (n,)) The gradient of the cost w.r.t. the parameters w. 

"""
m, n = X.shape
dj_db, dj_dw = compute_gradient(X, y, w, b)

Moderator edit. Code removed.
    
### END CODE HERE ###         
    
return dj_db, dj_dw

This is the assignment for week 3. Got incorrect results. Does anyone know how to fix it?

2

// you have computed the gradient for the logistic regression without regularization.
dj_db, dj_dw = compute_gradient(X, y, w, b)

  1. you do not need the following anymore — since you are doing the computation all over again and adding it to the original one.

START CODE HERE

Moderator edit, code removed.

3

Do not post your code on the forum. That is not allowed by the Code of Conduct .