I have basic knowledge of Python. But I don’t understand what the optional labs contain. Please tell me how should I go through the labs so that, I can understand the cost function and gradient descent algorithm coding.
Hey @Ahmad_Adan
If I got your question correctly, the idea of optional labs is to provide an additional extension of the current lesson. For example, if you are training a network, the optional may challenge you to use different parameters or different datasets, and so on, to see what happens. But note that you don’t need to do the optional exercises to finish this course. That is the reason why they are optional/ungraded exercises.
I recommend you read the code in the labs and compare it to the equations presented in the lectures.