Exploring the Complexity of the Sigmoid Function
The sigmoid function is used in early deep learning. This smoothing function has practical uses and is easy to derive. Y-axis curves that resemble the letter “S” are called “sigmoidal.” The sigmoidal part of the tanh function (x) defines the more general “S”-form functions, of which the logistic function is a particular example. The only […]
Why Is the Sigmoid Function Important?
The sigmoid function is used in early deep learning. This smoothing function has practical uses and is easy to derive. When seen along the Y axis, curves that resemble the letter “S” are referred to be “sigmoidal.” The logistic function is a specific example of the more generic “S”-form functions, which are defined by the […]
Learning the Algorithms of Machine Learning
Algorithms are used in the fascinating topic of machine learning (ML), which allows systems to learn and make decisions with sigmoid function explicit programming. This article will examine some basic machine learning algorithms that are essential to many different kinds of applications. Algorithms for Supervised Learning: When a model is trained on a labeled dataset—that is, when […]