In this article, we will see the complete derivation of the Sigmoid function as used in Artificial Intelligence Applications.
To start with, let’s take a look at the sigmoid function
Okay, looks sweet!
We read it as, the sigmoid of x is 1 over 1 plus the exponential of negative x.
And this is the equation (1).
Let’s take a look at the graph of the sigmoid function,
Looking at the graph, we can see that the given a number
n, the sigmoid function would map that number between 0 and 1.
As the value of
n gets larger, the value of the sigmoid function gets closer and closer to 1 and as
n gets smaller, the value of the sigmoid function is get closer and closer to 0.
Okay, so let’s start deriving the sigmoid function!
So, we want the value of
In the above step, I just expanded the value formula of the sigmoid function from (1)
Next, let’s simply express the above equation with negative exponents,
Next, we will apply the reciprocal rule, which simply says
Applying the reciprocal rule, takes us to the next step
To clearly see what happened in the above step, replace
u(x) in the reciprocal rule with
(1 + e^(-x)) .
Next, we need to apply the rule of linearity, which simply says
Applying the rule of linearity, we get
Okay, that was simple, now let’s derive each of them one by one.
Now, derivative of a constant is 0, so we can write the next step as
And adding 0 to something doesn’t effects so we will be removing the 0 in the next step and moving with the next derivation for which we will require the exponential rule, which simply says
Applying the exponential rule we get,
Again, to better understand you can simply replace
e^u(x) in the exponential rule with
Next, by the rule of linearity we can write
Derivative of the differentiation variable is 1, applying which we get
Now, we can simply open the second pair of parenthesis and applying the basic rule
-1 * -1 = +1 we get
which can be written as
Okay, we are complete with the derivative!!
But but but, we still need to simplify it a bit to get to the form used in Machine Learning. Okay, let’s go!
First, let’s rewrite it as follows
And then rewrite it as
+1 — 1 = 0 we can do this
And now let’s break the fraction and rewrite it as
Let’s cancel out the numerator and denominator
Now, if we take a look at the first equation of this article (1), then we can rewrite as follows
And with that the simplification is complete!
So, the derivative of the sigmoid function is
And the graph of the derivative of the sigmoid function looks like
Thanks for reading the article! Wanna connect with me?
Here are links to my Linkedin Profile and YouTube Channel,
View Arunava Chakraborty’s professional profile on LinkedIn. LinkedIn is the world’s largest business network, helping…www.linkedin.com
Shoot me a message! Let’s connect!
Source: Deep Learning on Medium