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/Basic Steps for Using Gradient Descent (Step 0 and 1)
Basic Steps for Using Gradient Descent (Step 0 and 1)
Learn about the first two steps for using gradient descent.
We'll cover the following...
Step 0 - Random initialization
In our example, we already know the true values of the parameters, but this will obviously never happen in real life. If we knew the true values, why even bother to train a model to find them?
Given that we will never know the true values of the parameters, we need to set ...