Derivative of the Sigmoid Activation function | Deep Learning

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In this video, I will show you a step by step guide on how you can compute the derivative of a Sigmoid Function. Sigmoid function is a widely used activation function Deep Learning & Machine Learning.

If you do have any questions with what we covered in this video then feel free to ask in the comment section below & I'll do my best to answer those.

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Thank you a lot ! I was going mad on how the differentiation of 1/(1 + e^-x) leads to z * (1-z)

SenthilBalas
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Thank you very much, my man. May GOD bless you, in Jesus' name. Amen.

presterdoggy
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Hi Bhavesh, You explained it very clearly and my lot of problems you solved it. Thanks man.

kamlesh
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Thanx. when do vanishing gradient arise? how to overcome it?

soumyabs
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Sir Deep Learning shuru kariye please. Because the way you make understand just gets into my head. Period! I mean even paid course will work as well. Hope to have a response from you. Thanks....

dhananjaykansal
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tq for clearing ! i was having hard time figuring out how f(w, b)(1-f(w, b)) came !

NicoAn
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Great Video, clear expalanation! Thanks!

anarabiyev
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Thanks brother, really cleared this up for me!

b.f.skinner
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if you have a sigmoide with f(0) = 0 ( like with the hemoglobine fixing oxygene ) then f(x) = ?
i searched a lot but i couldn t find

מאמין-גנ
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How can I solve this Without calculator

Input of a neuran is 0.377
I need the output of the neuran with sigmoid function ?

The output is 0.5932...
How ?

timebokka
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but, can quotient rule be applied in this scenario? As much as i have studied calculus, it is applied when both the numerator and denominator are functions. But, here it is a constant in the numerator.
Nonetheless, it can be solved using reciprocal rule.

usamahussain
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i am lost when it coms to deep learning. how does the updating interact with the derivative..?

chrislam
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why does e become negative when you take the derivative?

DanielRamBeats
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I think this is the most self explained Sigmoid function written in Javascript :)

function sigmoid(t) {
return 1/(1+Math.pow(Math.E, -t));
}

hikolanikola
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I want the Derivative of the bipolar Sigmoid Activation function

muhannedmtd
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Why this text it blocks view we can understand what you are doing by listening your explanation subtitles blocks view

amitparmar
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Math with Gandhi hehe I do like the accent though and he’s doing a better job not stumbling like the native English speakers video I just watched again

makingglitches
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can't believeim a masters student and forgot the quotient rule lmao...

BrandonSLockey