### How To Develop A Simple Hopfield Network In C++

In the history of AI development, one of the greatest AI technologies was the pattern recognition models, especially to read texts from pixel images. One of them was the Hopfield network (or Ising model of a neural network or Ising–Lenz–Little model), which is a form of recurrent neural network, it was invented by Dr. John J. Hopfield in 1982. A Hopfield Network can be applied to pattern…

### Learn C++ Optimization With A Genetic Algorithms Example

Solving C++ optimization problems are one of the areas of all quantitative disciplines from social science, economics to engineering fields such as computer science. Genetic Algorithm (GA) is a kind of machine learning process that is used to generate high-quality…

### 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…

### 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 multiple dimensions. It is also known as softargmax or normalized exponential function. It is used in multinomial logistic…

### 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 C++ Gaussian Error Linear units, it will help you to build C++ applications with the use of C++ IDE. What…

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

In this post, you’ll learn 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? By learning how To Make AI Binary/Heaviside Step Functions In C++, it will help you to build C++ applications with the use of a C++ IDE. What is an activation function…

### 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, classes, or structs? In previous AI Tech posts, we answered all these questions. In this post, we will list all the simple AI models in C++. There can be many models…

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

In this post, you’ll get answers to these questions: Do you want to learn what is the simplest activation function in neural networks?What is an Identity Function?What do we need to know about Activation Functions and Transfer Functions as AI terms?Is an Activation…

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

In this post, you’ll get answers to these questions: How can I use Vectors in an ANN model?Can I use vectors in a Simple Artificial Neuron example?Do you have an Artificial Intelligence example in Modern C++?How to apply vectors to an ANN model?Can we use vectors as arrays in our AI applications?What are the benefits of using Modern C++ features like Vectors and Classes in AI…