applying gradient descent in practice in these type of environments which is very standard in neural networks can be a huge challenge now we're called the update equation that we defined previously with gradient descent this is that same equation we're going to update our weights in the direction in the opposite direction of our gradient I didn't talk too much about this parameter ADA I pointed it out this is the learning rate it determines how much of a step we should take in the direction of that gradient and in practice setting this learning rate can