How Gradient Descent Works. Simple Explanation

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Video explain what is gradient descent and how gradient descent works with a simple example. Basic intuition and explanation are revealed in the video.The content is:

0:09 - What is Gradient Descent.
0:30 - Example
0:39 - Step no. 1. Start with a random point and find the gradient (derivative) of the given function.
1:28 - Step no. 2. Set learning rate to get know how big should be a step to move forward on gradient descent to the opposite direction.
1:47 - Step no. 3. Perform calculations on iterations.
1:58 - Initialize parameters.
2:20 - calculations on the 1st iteration.
3:20 - calculations on the 2nd iteration.
4:26 - till we reach global or local minimum.

I hope that this explanation on how gradient descent works is useful for beginners of deep learning or good reminder for machine learning / deep learning experts.

#deeplearning #gradientdescent #ai
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Sometimes we just need two loops to understand a whole. Thank you!

blendaguedes
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All other videos on gradient descent are atleast 20 minutes long. This one is five, and made me understand more than any of those videos. Thank you!

lovekildetoft
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Thank you! Many hours of trying to understand gradient decent, now I finally get it, thanks to this video. Thank you!

uncoded
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This is one of the best and easiest way to learn and understand gradient descent, thank you so much for this

anamikabhowmick
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That’s the way to explain a concept! Example with detailed steps. Thank you so much!

impzhu
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Thank you for such a clear explanation. Short and precise. no unnecessary talk.

riki
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It is easy... spent my 2 days on learning gradient descent.... then I came to your video... Thanks bro

hemantsah
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We can take any number as intial parameters and learning rate

yaminikommi
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It's very short and very useful.. I get clarity what I was looking for.
Thanks once again.

wtry
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Bro thank you so much for your efforts, couldn't find a more simple explanation of gradient descent than this one.

aalishanhunzai
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If you found useful in this video I highly recommend to check other related ones:

DataScienceGarage
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Oh my god, you are excellent. You make the difference on YouTube. Thank you so much. 🎉🙏👏🙌👌👍✌🏼

abdelrahmane
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how do you know, how many iterations to run before reaching the global/local minimum, what if it reaches the minimum and starts climbing on the other side ?

glenfernandes
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Thank you so much for this! This is the perfect explanation! 😄

Elementiah
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wow dude, very clearly explained and you made it simple for me to understand. cheers man

Alex-pdxc
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2 hours in DL course i didnt get it
5 min made my day this is how actually learning should be <3
thanks brother 💗

Ziad-Ahmed-Mohamed
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I bow to your for this great clarification ..loved it

phaniraju
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Love this video ❤️, Very simple and precise! Thank you !

sukanya
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Thank you so much your work was practical and I loved it alot and underestood gradient descent. Before that I spent lots of time but didn't understood it properly

muhammadhashir
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Thanks for this example, simple and spot-on!

TingBie