<caption><image_7>The image is a screenshot of a pop-up window on a computer screen. The window is titled "Systematic way to change weights" and has a white background with black text. On the left side of the window, there are several options for the user to choose from. 

At the top, there is a menu bar with options such as "Presentation", "Presentations", and "Options". Below the menu bar, it says "Use the slide in the x-axis to adjust the weight". On the right side, there has a text field where the user can enter the weight they want to change.

There is also a button at the bottom right corner that says "Change weights". The window appears to be a tutorial or guide on how to change the weight of a given object.</caption> know the old saying is that data scientists spends 80% of their time paying of data and maybe we think them the painting about dog 3 the data is okay well let's go back so last time we ended looking machine learning you know just trying to motivate your networks so we have some sort of you know function we're trying to do yeah we're trying to trying to figure out this dysfunction we we have some training day I'm tells us given some next one next to it was the function value is and now we're trying to figure out look these weights and the biases and so basically using gradient descent the common technique I'm going to do is we take the derivative education function if it was a slope the nu that Slocombe the different dimensions you go in one way both or to an answer on the curve and then we use that to go with a function and try again over and over again and the problem is you know if we take this little clear right it's going to shoot this way over here which may be too far and so then like heck the derivative we don't want to go this fall too far away
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