What I understand in simple terms: A differentiable program is a program where the derivative can be systematically calculated with respect to each input parameter. The derivative (or vector of all derivatives, the gradient) represents the instantaneous rate of change, allowing us to determine in which direction to adjust the input parameters to achieve the desired effect on the output. By leveraging this information, the parameters can be adjusted step by step in the direction that most rapidly reduces a cost function. This approach helps identify optimal parameters, and this process is known as gradient descent. One of the most recognized uses of this idea is in machine learning. Machine learning models use these automatically calculated derivatives to reduce the difference between the model's predictions and the actual results. This continuous adjustment improves the model's performance over time, this process of refining parameters is what we call "learning."

@Numeryst

2 ай бұрын

There is more to it but the explanation above is helpful.

That was so good and to the point!

thank you.

@Numeryst

2 ай бұрын

You're very welcome, AJ! I'm glad you enjoyed the video.

Bro is rapping

subbed

@Numeryst

4 күн бұрын

Super cool!

Wowee that was dense, many things added to my list of things to check out :o

@Numeryst

3 ай бұрын

It has zillions of applications so take your time and check it out!

Ok, I think I had enough information for today.

@Numeryst

2 ай бұрын

Learning everyday!

Maybe I am just too stupid to understand...

@Numeryst

3 ай бұрын

Not really, just look up the hints I have given in the video and take your time to properly go through it. Eventually, things will illuminate.

@KewalTailor

Ай бұрын

Same

Thse are smart words coming from a smart man They sound like magic

@Numeryst

3 ай бұрын

Indeed, these are results of decades of research!

A lot

@Numeryst

3 ай бұрын

Cool :)