Analogous or equivalent? - 2.1 Exercise 8 - L1

Question: I understand the terms, but did you mean to write “loss” at the end? Minimizing the cost makes sense, but this exercise seems to focus on the loss.

Statement: (Exercise 8 - L1) The loss is used to evaluate the performance of your model. The bigger your loss is, the more different your predictions (𝑦̂ y^) are from the true values (𝑦y). In deep learning, you use optimization algorithms like Gradient Descent to train your model and to minimize the cost.

  • L1 loss is defined as…

I believe this has been fixed. Thank you pointing it out.