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  1. What is a sigmoid function and what does it give as output?

    Jan 26, 2022 · In the case of the sigmoid function, What is the exact input and output of this function? What I know is, it takes the value of x which is written in the above equation. The …

  2. Why sigmoid function instead of anything else? - Cross Validated

    Jul 24, 2015 · Why is the de-facto standard sigmoid function, 1 1+e−x 1 1 + e x, so popular in (non-deep) neural-networks and logistic regression? Why don't we use many of the other …

  3. Derivative of sigmoid function $\\sigma (x) = \\frac{1}{1+e^{-x}}$

    The sigmoid function is defined as follows σ(x) = 1 1 + e − x. This function is easy to differentiate because dσ(x) d(x) = σ(x) ⋅ (1 − σ(x)). It has been a long time since I've taken differential …

  4. What are the benefits of using a sigmoid function?

    May 27, 2019 · Sigmoid is one of the possible activation functions. The purpose of an activation function is to squeeze all possible values of whatever magnitude into the same range.

  5. Definition of sigmoid function - Mathematics Stack Exchange

    Jun 6, 2020 · A sigmoid function is a bounded, differentiable, real function that is defined for all real input values and has a non-negative derivative at each point. [1] A sigmoid "function" and …

  6. Neural networks - what is the point of having sigmoid activation …

    May 23, 2022 · The sigmoid function on the output neuron compresses the final value into the interval (,) (,). This is often (but not necessarily) to give an output that is a probability in a so …

  7. Sigmoid function with a longer, straighter middle

    Dec 8, 2020 · Finding such a ϕ(x) is a challenge in and of itself. But in looking for a sigmoid function f(x), we may want to start with a ϕ(x) that is itself a function of a sigmoid, but with …

  8. neural network - Fast sigmoid algorithm - Stack Overflow

    The sigmoid function is defined as S(t) = 1 / (1 + e^(-t)) (where ^ is pow) I found that using the C built-in function exp() to calculate the value of f(x) is slow. Is there any faster algorithm to

  9. Is there a way to stretch sigmoid function output

    I think that sigmoid function is a good candidate for that transformation, but sigmoid's output is between 0 and 1. Is there any way for me to pass upper and lower limits to sigmoid (or any …

  10. How can I create a custom sigmoid function? - Stack Overflow

    Jun 25, 2024 · 1 I am trying to build a custom sigmoid-shaped function because I want to scale my data during preprocessing. Basically, the goal is to obtain a sigmoid shaped function that …