### What Is The Hyperbolic Tangent Activation ANN Function?

What is a hyperbolic Tangent function? How can we use Hyperbolic Tangent Function in C++? Let’s answer these questions. What does an activation function mean in AI? Activation Function ( phi() ) also called as transfer function, or threshold function that determines the activation value ( a = phi(sum) ) from a given value (sum) from the Net Input Function . Net Input Function…

### What Is The SoftMax Function in Neural Networks?

What is the SoftMax function in Neural Networks? How can we use the SoftMax function in ANN? Where can we use SoftMax in AI technologies? Let’s explain these terms. What is the Softmax function? The SoftMax Function is a generalization of the logistic function to…

### Why You Should Know ELU Artificial Neural Net Functions

In this post, we will explain what an Exponential Linear Unit, or ELU, is. How can we make use of an ELU Activation Function? By learning all of these, you will be able to create C++ applications using C++ software. What do we need to know about activation…

### What You Need To Know About C++ Gaussian Error Linear Units

In this post, you’ll learn what a Gaussian Error Linear Unit is. How does the GELU function work in ANN? Where can GELU be applied to AI technologies? By learning activation functions and terms, it will help you to build C++ applications with the use of C++ IDE. What is an activation function? An Activation Function( phi() ) also called astransfer function…

### How To Make AI Binary/Heaviside Step Functions In C++

What is a Binary Step Function? Should we use Binary Step Function or Heaviside Step Function? Are Binary Step functions and Heaviside Step functions the same thing? What is a Unit Step Function? Briefly, all these terms are same, let’s explain these terms. What is…

### This Is How To Make Artificial Neuron Models in C++

What is a simple artificial neuron in C++? How can we code a simple AI neuron in C++ ? Should we use arrays or classes or structs ? In previous AI Tech posts, we answered all these questions. In this post we list all simple AI models in C++. There can be many models…

### What Is An Identity Activation Function in Neural Networks?

Do you want to learn what is simplest activation function in neural networks? What is an Identity Function? What do we need to know about Activation Functions and Transfer Functions as an AI term? Is an Activation Function the same with a net Input Function? Is there a possibility to use Net Input Function as an Activation Function? What does any of this even mean? 🙃 What do we mean by…

### How To Make A Vector-Based Simple Artificial Neuron Model

How can I use Vectors in an ANN model? Can I use vectors in a Simple Artificial Neuron example? Do you have Artificial Intelligence example in Modern C++? How to apply vectors to an ANN model? Can we use vectors as same as arrays in our AI applications? What are the benefits…

### AI Techs :: Minimum Edit Distance Method in Unicode Strings in C++

Inthe Artificial Intelligence Technology, mostly in the field of Natural Language Processing (NLP), Computer Linguistics and in other fields of Computer Science, The Edit Distance Methodis a way of quantifying how dissimilar two text far from each other in…

### AI Techs :: Very Simple Artificial Neural Network Example in C++

In this post, we will try to explain how to simulate a very simpleartificial neural networkin C++ and this is a good introduction toArtificial Intelligence Technologies. Artificial Intelligence is being widely explained well in Computer Science and many other disciplines, when we search simple examples in C++ it is really hard to find simple examples. The main aim of this post is…