Latest Deep Learning Articles and Videos

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.

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.

This article presents an algorithm intended for humans to calibrate the internal oscillator of an MCU, with the help of…

This article presents an algorithm intended for humans to calibrate the internal oscillator of an MCU, with the help of an oscilloscope and a spreadsheet. An example experiment with numbers is also shown.

Learn how to build a setup that will help you predict a battery's performance as it ages using a Trinket M0 and software…

Learn how to build a setup that will help you predict a battery's performance as it ages using a Trinket M0 and software algorithms.

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.”

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.