The Sigmoid Function Clearly Explained

In this video we discuss the sigmoid function.
The sigmoid function plays an important role in the field of machine learning and is considered as one of the most widely used so-called activation functions.
More specifically, in the context of logistic regression, the sigmoid is used to predict the outcome of binary classification problems.
#sigmoid #machinelearning #logisitcregression #binaryclassification

[@atheneus]

I'm shocked to see that this channel is so small. Please keep uploading, you're a goldmine.

[@Administrator80085]

Truly CLEARLY explained! Good job. I look forward to seeing the rest of the series.

[@nononnomonohjghdgdshrsrhsjgd]

Finally someone who understands it. I can`t believe how people lack ground knowledge in plotting functions, but are already studying Maschine Learning. Thank you very much.

[@pierocruz6191]

woow, I didn't think I would get the idea in a youtube video thanks!!

[@rabistonechoy4656]

Ah.. because I didn't learn math properly, I couldn't understand why is this working as binary activation. Thank you for explaining.

[@DubZenStep]

This is the clearest explaination ever made. The world needs more people like you my friend. Thank you so much, you are a game changer.

[@Jake-ms9dr]

I decided to learn a little bit about the sigmoid so I could understand neural nets slightly better, and I'm glad I did. Very good video.

[@alessandrobelottidev]

THIS IS THE MOST AMAZING VIDEO ABOUT THE SIGMOID. It really helped me understanding better machine learning @16

[@guanlunzeng9332]

Thanks for the video! Very easy and clear to understand the Sigmoid function.

[@sachinsharma-ur2dq]

Thanks for a clear and to the point explanation...

[@SimpleLivingHigherThinking]

Thank you so much now the intution for the formula for logistic regression for classification problems became much more clear 😀

[@himanshugautam7318]

Amazing explanation. Looks like I will never forget this concept as it was explained so well.

[@upperground9543]

This is such a great explanation. So much important information is packed into this one video. Thank you very much for saving my time! keep up the great work. The programming community needs more people like you

[@zwdxff5493]

The best explanation ever

[@heidik1757]

Best way of explaining it in my eyes. Cheers!

[@Kugelschrei]

Thank you so much, this really helped me grasp the concept. I always wondered how big inputs (or many inputs) result in 0-1 ranges when leaving the node, since they are all added and multiplied beforehand. I knew the activation function takes care of it, but had no idea how exactly

[@du42bz]

Epic pfp

[@hijack80]

clear as day. Thank you for the amazing explanation

[@omarespino964]

EXCELLENT explanation. Thank you!

[@GEB-Loop]

Great explanation. Thank you!

[@ekinkaganozkan]

This is amazing! Perfectly explained!

[@amingilani]

You should create more videos. Beautifully explained.

[@tanjimashraf803]

Simply yet effectively explained. Please consider making more videos & continue. I visited you channel, that was your great initiative.

[@arthurpendragoon574]

thanks, your video is easy to understand, hope you keeping working on more things like this.

[@willbutonline784]

This is fantastically visualized and explained! :D

[@legendfpv]

Best video on the topic. Thanks

[@spawnerbest2718]

Really clear and straightforward explanation, thanks a lot!

[@SuperTimawa]

Awesome! Clearly and concisely explained! 👍🏼👍🏼

[@vadivelan4228]

Wow.. Amazing presentation.

[@hkrishnan91]

Thank you very much. Clear explanations. Cheers!

[@aashishaxis5108]

job well done ...thank u for spot on explanation

[@belfloretkoriciza5279]

Keep it up guys we really appreciate your effort

[@rajqsl5525]

Very helpful!! Keep up the good work. Thanks

[@powerh5888]

Follow me on Medium: dr-younes-henni.medium.com/

[@StarlitWitchy]

Thank you so much for this detailed and informative video!!

[@youssefbouraha7026]

amazing channel, I hope that you can upload more videos

[@ricardogabrielcardozocontr3653]

Exelente explicación! ¡felicitaciones eres un gran educador!!!!!!

[@joshuabattlehammer6058]

This video is amazing, great job!

[@stevenwilson5556]

Very cool, thank you.

[@mohshas9116]

Good job I hope to continue

[@dereksavage8728]

Why would anyone dislike? Beautiful presentation and explanation.

[@Joel-fs5zh]

thank you, clear, concise, and I liked the graphics

[@BeMyMotive]

thanks for the detailed explanation!

[@HistoricalPlayer]

Best visual explanation!

[@ganeshsubramanian6217]

Very well explained, thank you!

[@karthikm1558]

Waiting for new videos bro. Excellent explanation 😁🤠

[@amazingvipul8392]

Awesome explanation, thank you 👍

[@samirpashayev5946]

that was concise and simple. thank you very much!

[@waelmikaeel4244]

This video is just perfect. Thanks a lot buddy.

[@powerh5888]

Thanks for watching :)

[@kanishk9490]

loved the explanation mate!

[@amandeepsaha]

Wow nice explained

[@panditjimbawale8850]

very nice explanation!

[@valentinberrios5927]

awesome video! thanks so much for this

[@georgezevallos]

What a wonderful video!

[@samkplaylists2331]

Wow, thus a very great explanation

[@rodrigo10239]

Great explanation, thanks a lot!

[@powerh5888]

Thanks for watching :)

[@Webenefit_Youtube]

Thank you for the clear explanation.

[@md.mohiulislam6516]

very good explanation

[@ishantguleria870]

amazing explanation

[@vipnirala]

Great explanation. Thanks

[@felipecavalcante8419]

very enlightening, thanks for it

[@nyotowijaya7949]

This is a master piece

[@tagoreji2143]

Thank you. Good Explanation

[@muslusudurag8338]

Excellent

[@jun0z_700]

very useful thank you!

[@cocoarecords]

wow this is perfect man

[@nguyennam9003]

understood. tks

[@powerh5888]

My pleasure 😇

[@alfonsoramirezelorriaga1153]

Clearly explained indeed.

[@youneszahr9097]

Thank you!

[@GGGGGGGGGG96]

Unfortunately, mathematicians cannot explain mathematics to non-mathematicians 😅. If i would explain the Sigmoid function clearly, I would start with the problem itself and what should be solved, before I start with any numbers and formulas.

[@arunthashapiruthviraj2783]

Clear explanation

[@waqarahmad-gm2rc]

so in other words, the sigmoid function should be used only WHILE training, then testing should just use a comparison operator to see if the value is more or less than 0.5?

[@internetuser2399]

This video was an incredible help, ty for making it. Does anyone know why there's a limit for x=0? I thought limits were only for when x neared impossible values, but x=0 doesn't seem to break anything? My knowledge of calculus is still pretty low. Thanks.

[@cognosagedev]

We take limit at x=0 just to find the threshhold value of sigmoid function so that we can draw the border point or threshhold point on the basis of that value we can predict either our independent variabe lies in 1 category(in this case Cat) or in second category(Dog)). hope you understand.

[@largewallofbeans9812]

The inverse of e^x is not e^-x. That would be the reciprocal. The inverse is ln(x).

[@tagoreji2143]

Both notations are same right? 🤔

[@StarlitWitchy]

Well it is the multiplicative inverse

[@basuml7657]

wow, amazing !!

[@pawestenzel3128]

So useful

[@Aklys]

This was great. Had heaps of trouble finding something that explains why the function is written the way it is. Thanks. Any ideas why we specifically use Euler's Constant vs any other. Or is that just because it's commonly utilised as a "Natural" exponential function?

[@powerh5888]

yes, exponential uses e by default.

[@giovannipugliese3287]

Very good

[@josephpravinp6662]

This was great. One doubt. How does (lim x -> neg INFINITY) makes (e power minus x) -> INFINITY

[@MFM88832]

Also important to put in that the Sigmoid function is a special case of the Logistic Function with the parameters L=1,k=1 and x0=0.

[@sunitatripathi2891]

Thank you 😊

[@kalimismilequest]

Thank you

[@lhadz7290]

Thank You

[@nagame859]

👍👍👍

[@entrepreneurways9465]

he has a nice voice !

[@saifqawasmeh9664]

Thanks!

[@hanielulises841]

It's so funny when you realize that videos with superficial concepts of AI have a lot of views, and videos with specifical topics just have a few views

[@arfatahmedansari8916]

Even after watching it carefully I did not understand it properly can someone tell me the pre-requisites to understand this?

[@lordblanck7923]

zero, except the last part where he told about classification problem. There is nothing to learn, he told everything in video.

[@arfatahmedansari8916]

@@lordblanck7923 okay

[@atheneus]

@@arfatahmedansari8916 yes, you'll need to learn basis - intermediate calculus for this

[@legendfpv]

@@lordblanck7923 that's an absolute lie

[@jt3742]

ahhh dogs and cats. ai youve struck again

[@user-nz7jh8gf3b]

hmm inverse of y=e^x is y=ln(x), yea? you were just putting a negative over the x not the inverse. But super nice video of sigmoid func!

[@largewallofbeans9812]

I think he meant reciprocal.

[@tusharplug]

👏

[@ahaemsinghania8420]

when i codded a sigmoid function and inputted -10 the value was greater that 1

[@tagoreji2143]

Then your code is wrong

[@deedetres703]

diminishing marginal returns indeed - lets change a few benchmarks 2023!!

[@makannafarian1448]

Excellent Body :)

[@z2a1f44]

bros negative pronounce seems to be raciest lmao😆😆😆😆😆

[@samarthsharma6993]

😂bruh u mentioned that, and now i cannot ignore it

[@flaviograf4572]

Excellent