Batch Normalization in neural networks - EXPLAINED!

[@alhadparashtekar1314]

This is the best explanation of batch normalization that I have seen. I really can't code unless i understand the reasoning behind the mathematics. Thanks for the explanation.

[@sccur]

Man I love your content! I like challenging hikes solo and chill hikes with the kids

[@KiyotakaAyanokoji1]

option B , my thought . . . definitely it is unstable as it is a ellipse and not a circle . the red represents high loss ( peak ) , gree is less loss ( valley ) . . . seeing this a little change along y axis ( Param 2 ) quickly leads us to the valley ( high slope ) giving large loss jumps.

[@algorithmo134]

Hi @CodeEmporium, do you have the solution to quiz 2 at 8:46?

[@Sickkkkiddddd]

How is information preserved with BN? If there was some pattern in the data pre-normalisation, wouldn't that be lost after batch norm?

[@thesuriya_3]

bro your transformer video is amazing zero to hero 👾

[@x_avimimius3294]

Hi I have an id about an ai based podcast . Here I want to create ai as the main frame of the podcast . Can you guide me on this ?

[@neetpride5919]

Yes, I like challenging hikes. Real curious to see how this relates to the topic lol

[@rethickpavan4264]

U r Mr.Consistant 🎉

[@Pure_Science_and_Technology]

I’m being selfish here but, can you create a video a out creating datasets for fine-tuning an llm?

[@poorinspirit8322]

1 - B, 2 - B, 3 - C. Are these answers correct?

[@shreysrivastava7515]

I believe it should be B, B, C

[@AbhijithJayanarayan]

B,A,C

[@FaAbYorker]

To be honest! Your "QUIZZ TIME" announcement is really annoying 😶

[@AbhijithJayanarayan]

B,A,C