Exponential Weighted Average || Lesson 12 || Deep Learning || Learning Monkey ||

[@utkarshsharma4041]

🤟 rocking

[@papa4669]

Wonderful teaching 👍

[@LearningMonkey]

Thankyou

[@shivamkumar-qp1jm]

Wow you teach nicely understood everything in the first attempt

[@LearningMonkey]

Thankyou

[@shahomaghdid9591]

Thank you so much

[@dinoyjohny5211]

Super. Thankyou so much

[@hassanrevel]

Super cool man. I understood everything.

[@lennonturner9032]

I'm surprised this has so few views. the concepts were explained so well. Thank you for taking the time out to talk about this :)

[@LearningMonkey]

Thank You very much

[@Gamezone-kq5sx]

excellent.....your explanation is very good....Many Thanks

[@LearningMonkey]

Have a great learning

[@biginepallinagasai4403]

Kudos for your work bro. The content is really informative and keep up the good work.

[@LearningMonkey]

Have a great learning

[@saimafazal2517]

B20 or b2???

[@intelligentinvesto9060]

Can you pls explain how the no. of previous points = 1/(1-beta)

[@LearningMonkey]

Hi
It's an approximate equation taken.
As beta increases the denominator of the above equation decreases. As denominator decreases. No of points increase.
That is the reason they have considered that equation.
As beta value increases more number of previous points weight is considered to calculate average weight. It does not mean remaining points are not considered. Remaining points are given less weigtage