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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.


Predicting Battery Degradation with a Trinket M0 and Python Software Algorithms

Predicting Battery Degradation with a Trinket M0 and Python Software Algorithms

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.


Projects Dec 09, 2019 by Aaron Hanson
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.”


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 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.


Xilinx Claims Title of “World’s Largest FPGA” with New VU19P

Xilinx Claims Title of “World’s Largest FPGA” with New VU19P

Composed of 35 billion transistors, the VU19P is the newest member of the 16 nm Virtex UltraScale+ family.


News Aug 28, 2019 by Gary Elinoff
AI Hardware Roundup: Neuromorphic Chips and Neural Network SoCs

AI Hardware Roundup: Neuromorphic Chips and Neural Network SoCs

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


News Jul 18, 2019 by Robin Mitchell
ROHM’s Smart City Sensor Module Detects Earthquakes—But the Real Star Is the Algorithm

ROHM’s Smart City Sensor Module Detects Earthquakes—But the Real Star Is the Algorithm

Built with inexpensive hardware components, ROHM's algorithm-based module has built-in false detection function.


News Jul 11, 2019 by Gary Elinoff
Aidoc’s AI Algorithm Receives FDA Approval for Flagging Pulmonary Embolisms in Radiology

Aidoc’s AI Algorithm Receives FDA Approval for Flagging Pulmonary Embolisms in Radiology

AI in medicine advances as the FDA clears AI workflow to help radiologists flag cases of pulmonary embolism.


News May 21, 2019 by Gary Elinoff
Sensors Behind Device Screens, Expression Tracking, and a New SDK: Facial Recognition Roundup

Sensors Behind Device Screens, Expression Tracking, and a New SDK: Facial Recognition Roundup

A look at some facial recognition-related info from around the industry.


News Jan 18, 2019 by Kate Smith
Design Implementation in the Xilinx Vivado Design Suite

Design Implementation in the Xilinx Vivado Design Suite

This article will look at the techniques that Vivado employs to accelerate design implementation.


News Sep 07, 2018 by Dr. Steve Arar