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How To Develop Special AI Activation Functions In C++?

Artificial Intelligence models in today’s AI development are rapidly increasing. These models execute and learn using mathematical functions that optimize the best result when it propagates or chooses the best solutions when it back propagates between artificial neurons. One of these functions is the Activation Function. Also called a transfer function, or threshold function it determines…
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Artificial Intelligence TechC++C++11C++14C++17C++20Learn C++

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 solutions to optimization and search problems by relying on biologically inspired operators such as mutation, crossover, and…
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Learn How to Integrate GPT-3 API in C++

AI based software and hardware technology is rapidly increasing. Every day we see new developments. One of the great leap is we have more logical AI chat applications which are based on NLP and DL mechanisms. There are many AI Tools that can be used to develop an AI powered by a programming language like C, C++, Delphi, Python, etc. In this post we explain how you can use GPT-3 API in C++…
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Artificial Intelligence TechC++C++11C++14C++17Learn C++

What You Need To Know About Sigmoid Functions In Neural Nets

Which activation function are the most popular? What is Logistic Function? What is difference between Logic Function and Sigmoid Function? How can I use these functions in my C++ app? Briefly, a Sigmoid Function is one of the most popular activation functions that are used in AI Technologies. A Sigmoid Function is a simple type of Logistic Function aka Logistic Curve. Let’s recap what an…
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