Latest Deep Learning Technical Articles

Advanced Machine Learning with the Multilayer Perceptron

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

December 24, 2019 by Robert Keim

Understanding Learning Rate in Neural Networks

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

December 19, 2019 by Robert Keim

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.

December 13, 2019 by Eduardo Corpeño

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.

December 09, 2019 by Aaron Hanson

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.”

December 05, 2019 by Robert Keim

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.

November 26, 2019 by Robert Keim

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.

November 24, 2019 by Robert Keim

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.

November 17, 2019 by Robert Keim

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.

November 13, 2019 by Robert Keim

Making the Cloud More Powerful: Xilinx FPGAs and Adaptive Workload Acceleration

Historically, FPGAs have been challenging to work with. To combat that reputation, Xilinx developed programmable devices that simplify—and accelerate—the implementation of customized hardware development.

June 08, 2018 by Xilinx

Accelerating Embedded Vision Integration with Xilinx SoCs and the reVISION Stack

SoCs with programmable logic are an essential element of real-time embedded vision systems. Designers can capitalize on the power and efficiency of Xilinx's Zynq Ultrascale+ MPSoC devices to implement their designs using Avnet's Embedded Vision Kits and the Xilinx reVISION stack.

May 18, 2018 by Xilinx

Basic Binary Division: The Algorithm and the VHDL Code

This article will review a basic algorithm for binary division.

May 09, 2018 by Dr. Steve Arar

How to Write the VHDL Description of a Simple Algorithm: The Control Path

This article will review converting a simple algorithm into a VHDL description.

March 16, 2018 by Dr. Steve Arar

How to Write the VHDL Description of a Simple Algorithm: The Data Path

In this article, you'll learn how to write the VHDL code for a simple algorithm.

March 15, 2018 by Dr. Steve Arar

What is Bluetooth 5? Learn about the Bit Paths Behind the New BLE Standard

The latest Bluetooth Specification provides features that allow increased speed and increased transmission distance. This article provides information about the various bit data paths used in the latest specifications.

July 31, 2017 by Mark Hughes

An Introduction to the CORDIC Algorithm

CORDIC is a hardware-efficient iterative method which uses rotations to calculate a wide range of elementary functions.

May 31, 2017 by Dr. Steve Arar

Developing Smarter, Safer Cars with ADAS (Automotive Advanced Driver Assistance Systems) IP

Optimizing performance, safety, and reliability in ADAS applications via design, verification, and processor IP and a holistic design approach.

March 07, 2017 by Cadence

An Intro to Adaptive Echo Cancellers

A introduction to adaptive echo cancellers using Matlab simulation.

December 07, 2015 by Tim Youngblood

Adaptive Gain Control with the Least Mean Squares Algorithm

An introduction to the least mean squares algorithm and adaptive gain control through a simple example.

November 30, 2015 by Tim Youngblood

Fundamentals Of Quantum Computing

This article walks through the very basics of quantum computing and how they are designed. It will also provide accurate information about the principles behind quantum theory that helps quantum computing work. The objective is to help you understand this new age technology and its benefits.

August 06, 2015 by Donald Krambeck

Categories