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…
IThis article will explain what a Rectified Linear Function is in ANN. How can ReLU Activation Function Hyperbolic be used? Let us refresh our memories about activation functions and define these terms. Learning rectified linear functions will be useful when coding a C++…
What is the fastest wide string encoding and decoding method? What is the fastest method to secure wide strings? Can we use shifting to encode or decode a wide string? Can we use shifting on Wide-Strings or on binary data? Do Wide strings help me build C++ applications with…
What is the fastest string coding and decoding method? What is the fastest method to secure the contents of your string? Can we use shifting to encode or decode a string? Can we use shifting on Strings or on Binary data? Do strings help me build C++ applications with the use of a C++ compiler? Let’s answer these questions.
If you are working with Wide Strings, then you should read this…
In this article, you’ll learn what global variables are in programming, what a local variable is in programming, how to use local variables in C++, and what the difference between local and global variables is. By learning C++ variables, you can build C++ applications…
What is a reference? What is a pointer? What does RVallue and LValue reference mean in C++? What are the differences between a pointer and a reference variable in C++? Let’s find out the answers to these questions. Also, by learning C++ Pointers and References, you…
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 functions?
An Activation Function ( phi() ) also called as transfer function, or threshold function, determines the activation value…
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…
In this post, you’ll learn what the SoftPlus Activation Function in ANN is. How do we make use of the SoftPlus Activation Function? Let’s go over the specifics of how activation works. By learning activation functions and terms, it will help you to build 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…
