Latest IT / Networking Technical Articles

This article shows you how to add bias values to a multilayer Perceptron implemented in a high-level programming language…

This article shows you how to add bias values to a multilayer Perceptron implemented in a high-level programming language such as Python.

In this article, we’ll perform some classification experiments and gather data on the relationship between hidden-layer…

In this article, we’ll perform some classification experiments and gather data on the relationship between hidden-layer dimensionality and network performance.

This article provides guidelines for configuring the hidden portion of a multilayer Perceptron.

This article provides guidelines for configuring the hidden portion of a multilayer Perceptron.

In this article, we’ll use Excel-generated samples to train a multilayer Perceptron, and then we’ll see how the…

In this article, we’ll use Excel-generated samples to train a multilayer Perceptron, and then we’ll see how the network performs with validation samples.

This article explains why validation is particularly important when we’re processing data using a neural network.

This article explains why validation is particularly important when we’re processing data using a neural network.

This article takes you step by step through a Python program that will allow us to train a neural network and perform…

This article takes you step by step through a Python program that will allow us to train a neural network and perform advanced classification.

This article discusses the Perceptron configuration that we will use for our experiments with neural-network training and…

This article discusses the Perceptron configuration that we will use for our experiments with neural-network training and classification, and we’ll also look at the related topic of bias nodes.

We can greatly enhance the performance of a Perceptron by adding a layer of hidden nodes, but those hidden nodes also…

We can greatly enhance the performance of a Perceptron by adding a layer of hidden nodes, but those hidden nodes also make training a bit more complicated.

In this article, we’ll see why we need a new activation function for a neural network that is trained via gradient descent.

In this article, we’ll see why we need a new activation function for a neural network that is trained via gradient descent.

This article discusses learning rate, which plays an important role in neural-network training.

This article discusses learning rate, which plays an important role in neural-network training.

In this article, we’ll review some important aspects of neural-net training, and then we’ll discuss the concept of…

In this article, we’ll review some important aspects of neural-net training, and then we’ll discuss the concept of overtraining.

This article presents Python code that allows you to automatically generate weights for a simple neural network.

This article presents Python code that allows you to automatically generate weights for a simple neural network.

This article demonstrates the basic functionality of a Perceptron neural network and explains the purpose of training.

This article demonstrates the basic functionality of a Perceptron neural network and explains the purpose of training.

This article explores the basic theory and structure of a well-known neural network topology.

This article explores the basic theory and structure of a well-known neural network topology.

Learn how to hook up an analog input (potentiometer) and output (LED) using a Microchip BLE module.

Learn how to hook up an analog input (potentiometer) and output (LED) using a Microchip BLE module.

This article shows how to initialize arrays in a C program with values from text files.

This article shows how to initialize arrays in a C program with values from text files.

Learn more about these two classic oscillator network topologies, including their simulations.

Learn more about these two classic oscillator network topologies, including their simulations.

Learn about the Sulzer network, an alternative to classic R-C networks that is easier to tune over wide frequency ranges.

Learn about the Sulzer network, an alternative to classic R-C networks that is easier to tune over wide frequency ranges.

Learn how pole splitting arises as the byproduct of Miller frequency compensation.

Learn how pole splitting arises as the byproduct of Miller frequency compensation.