All About Circuits

Latest Machine Learning Articles and Videos

Categories

AI-focused Education Indicates That Industry 4.0 is Closer Than We Think

AI-focused Education Indicates That Industry 4.0 is Closer Than We Think

This article reviews how AI is making its way into education, which in turn may direct the future of Industry 4.0.


News Jan 11, 2020 by Cabe Atwell
Neural Network Architecture for a Python Implementation

Neural Network Architecture for a Python Implementation

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.


What Designers Should Expect at CES 2020

What Designers Should Expect at CES 2020

CES isn't just for consumer gadgets. Here are some trends at the show that may affect your designs.


News Jan 07, 2020 by Hannah DeTavis
Understanding Training Formulas and Backpropagation for Multilayer Perceptrons

Understanding Training Formulas and Backpropagation for Multilayer Perceptrons

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


How to Train a Multilayer Perceptron Neural Network

How to Train a Multilayer Perceptron Neural Network

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.


The Sigmoid Activation Function: Activation in Multilayer Perceptron Neural Networks

The Sigmoid Activation Function: Activation in Multilayer Perceptron Neural Networks

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


Advanced Machine Learning with the Multilayer Perceptron

Advanced Machine Learning with the Multilayer Perceptron

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


In a 2 Billion Dollar Deal, Intel Acquires AI Chipmaker Habana Labs

In a 2 Billion Dollar Deal, Intel Acquires AI Chipmaker Habana Labs

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


News Dec 21, 2019 by Tyler Charboneau
Understanding Learning Rate in Neural Networks

Understanding Learning Rate in Neural Networks

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


How to Calibrate a Microcontroller Internal Oscillator: A DIY Trimming Procedure Algorithm

How to Calibrate a Microcontroller Internal Oscillator: A DIY Trimming Procedure Algorithm

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.


OKdo Brings AI to Makers and Embedded Designers Alike With New Developer Kit

OKdo Brings AI to Makers and Embedded Designers Alike With New Developer Kit

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.


News Dec 06, 2019 by Lisa Boneta.
An Introduction to Training Theory for Neural Networks

An Introduction to Training Theory for Neural Networks

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


AI Hardware Built from a Software-first Perspective: Groq’s Flexible Silicon Architecture

AI Hardware Built from a Software-first Perspective: Groq’s Flexible Silicon Architecture

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


News Dec 03, 2019 by Majeed Ahmad
BeagleBoard BeagleBone AI | Featured Product Spotlight

BeagleBoard BeagleBone AI | Featured Product Spotlight

This Featured Product Spotlight is part of a video series exploring the specifications, applications, and market context of new products.


Understanding Simple Neural Network Training

Understanding Simple Neural Network Training

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


How to Train a Basic Perceptron Neural Network

How to Train a Basic Perceptron Neural Network

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


How to Use a Simple Perceptron Neural Network Example to Classify Data

How to Use a Simple Perceptron Neural Network Example to Classify Data

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


How Automated CDC Protocol Verification Accelerates Testing Processes

How Automated CDC Protocol Verification Accelerates Testing Processes

This article describes a methodology that automates set up, constraints, and results analysis as designs move from static CDC analysis to formal verification to simulation and avoid manual scripting efforts, thus reducing setup effort and errors.


How to Perform Classification Using a Neural Network: What Is the Perceptron?

How to Perform Classification Using a Neural Network: What Is the Perceptron?

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


New AI Secures Public Spaces Using Security Cameras, Drone Surveillance, and Facial Recognition

New AI Secures Public Spaces Using Security Cameras, Drone Surveillance, and Facial Recognition

The ever-advancing field of artificial intelligence is opening new vistas for securing homes and public spaces alike.


News Nov 09, 2019 by Gary Elinoff