Latest Classification Articles and Videos

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.

With the adoption of artificial intelligence and machine learning in a wide variety of applications, reliability…

With the adoption of artificial intelligence and machine learning in a wide variety of applications, reliability verification of AI/ML processors is critical since failures can have major consequences for the validity and legitimacy of AI/ML technology.

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.

This article presents the equations that we use when performing weight-update computations, and we’ll also discuss the…

This article presents the equations that we use when performing weight-update computations, and we’ll also discuss the concept of backpropagation.

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 explains why high-performance neural networks need an extra “hidden” layer of computational nodes.

This article explains why high-performance neural networks need an extra “hidden” layer of computational nodes.

In a bid to galvanize its own AI future, Intel has acquired advanced AI training and inference silicon technology.

In a bid to galvanize its own AI future, Intel has acquired advanced AI training and inference silicon technology.

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.

The new kit offers out-of-the-box support for full desktop Linux and is compatible with many peripherals that support 4K,…

The new kit offers out-of-the-box support for full desktop Linux and is compatible with many peripherals that support 4K, including Ethernet, USB, and HDMI.

In this article, we’ll explore Perceptron training from a more theoretical perspective, focusing on the “error bowl.”

In this article, we’ll explore Perceptron training from a more theoretical perspective, focusing on the “error bowl.”

Groq, a semiconductor startup with software roots, has developed a new processing unit with a unique architecture that…

Groq, a semiconductor startup with software roots, has developed a new processing unit with a unique architecture that offers inference solutions for AI acceleration.

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.

AI algorithms take a lot of resources to function. What hardware can handle running them on the edge?

AI algorithms take a lot of resources to function. What hardware can handle running them on the edge?

AI on a smartphone? U of M researchers open the door to localized AI processing, even on portable devices.

AI on a smartphone? U of M researchers open the door to localized AI processing, even on portable devices.