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.
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.
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.
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.
Learn a method of attaining convergence when simulating very high Q crystal oscillators using Cadence’s Virtuoso…
Learn a method of attaining convergence when simulating very high Q crystal oscillators using Cadence’s Virtuoso Periodic Steady State (PSS) analysis.
This article will review a basic algorithm for binary division.
This article will review a basic algorithm for binary division.
This article will review converting a simple algorithm into a VHDL description.
This article will review converting a simple algorithm into a VHDL description.
In this article, you'll learn how to write the VHDL code for a simple algorithm.
In this article, you'll learn how to write the VHDL code for a simple algorithm.
In this article, we’ll see that a memory element can be unintentionally inferred from an incomplete “if” statement.
In this article, we’ll see that a memory element can be unintentionally inferred from an incomplete “if” statement.
This article introduces the image histogram and discusses its characteristics and applications.
This article introduces the image histogram and discusses its characteristics and applications.
The latest Bluetooth Specification provides features that allow increased speed and increased transmission distance. This…
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.
This article presents an overview of various applications which exploit convolution, an advanced signal operation.
This article presents an overview of various applications which exploit convolution, an advanced signal operation.
CORDIC is a hardware-efficient iterative method which uses rotations to calculate a wide range of elementary functions.
CORDIC is a hardware-efficient iterative method which uses rotations to calculate a wide range of elementary functions.
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