In this article, we’ll take a look at the analog blocks for implementing the square wave-based synchronous demodulator.
In this article, we’ll take a look at the analog blocks for implementing the square wave-based synchronous demodulator.
Learn about how power spectral density (PSD) helps us to examine the effect of a noise source on the output of a linear…
Learn about how power spectral density (PSD) helps us to examine the effect of a noise source on the output of a linear time-invariant (LTI) system.
This article is the fourth of a series on microcontroller timers which discusses internal watchdogs.
This article is the fourth of a series on microcontroller timers which discusses internal watchdogs.
This article is the third of a series on microcontroller timers which describes the RTCs inside a microcontroller.
This article is the third of a series on microcontroller timers which describes the RTCs inside a microcontroller.
This article is the second of a series on microcontroller timers. This article describes a more complex timer called the…
This article is the second of a series on microcontroller timers. This article describes a more complex timer called the PWM or pulse-width modulation timer.
This article discusses a complication that can prevent your Perceptron from achieving adequate classification accuracy.
This article discusses a complication that can prevent your Perceptron from achieving adequate classification accuracy.
This article shows you how to add bias values to a multilayer Perceptron implemented in a high-level programming language…
This article shows you how to add bias values to a multilayer Perceptron implemented in a high-level programming language such as Python.
In this article, we’ll perform some classification experiments and gather data on the relationship between hidden-layer…
In this article, we’ll perform some classification experiments and gather data on the relationship between hidden-layer dimensionality and network performance.
In this article, we’ll look at the pros and cons of using a switch-based multiplier.
In this article, we’ll look at the pros and cons of using a switch-based multiplier.
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, the first in a series on “timer/counter” functions in microcontrollers, discusses periodic timers.
This article, the first in a series on “timer/counter” functions in microcontrollers, discusses periodic timers.
This article will look at the trade-offs we face when trying to improve the linearity of a circuit.
This article will look at the trade-offs we face when trying to improve the linearity of a circuit.
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.