Gradient Descent Explained
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Gradient descent is an optimization algorithm which is commonly-used to train machine learning models and neural networks. Training data helps these models learn over time, and the cost function within gradient descent specifically acts as a barometer, gauging its accuracy with each iteration of parameter updates. IBM Master Inventor Martin Keen explains.
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#AI #Software #ITModernization #GradientDescent #lightboard #IBM #DataFabric #WatsonX
Пікірлер: 24
Very nice explanation of the concept, brief and understandable. Awesome!
Good explanation. It is somewhat also important to note that curve should be differentiable.
The best video i could find. Thank you.
Very good explanation of high-level concept on GD.
Wow best explanation ever 👏
Thank You Martin , really helpful for my uni exam
Thank you so much!
As always, great video from IBM
@John-wx3zn
3 ай бұрын
It is wrong.
great lecture
Im always confused by these screens or boards, whatever. Like how do you write on them? Do you have to write backwards or do you write normally and it kinda mirrors it?
The most confusing part of this video is how he managed to write everything backwards on the glass so flawlessly
@sanataeeb969
Жыл бұрын
can't they write on their normal side then flip the video?
@sirpsychosexy
Жыл бұрын
@@sanataeeb969 no that would be way too easy
@waliyudin86
Жыл бұрын
Bro just focus on the gradient descent topic
@P4INKiller
9 ай бұрын
@@sanataeeb969Oh shit, you're clever.
didn't know Steve Kerr works at IBM
ibm: "how to make a neural network for the stock market?"
Nice I learned more from this 7 min video than 1 hour long boring lecture
ANY CHANCE TO GIVE 1000 LIKES???😩
I was expecting a mathematical explanation :(
Your neural network is wrong.
I couldn't visualise, I saw nothing on the screen...
@yt-sh
Жыл бұрын
can see it