Neural Networks - Deep Learning Sciences

Direct Prediction of Phonon Density of States With Euclidean Neural Networks

Direct Prediction of Phonon Density of States With Euclidean Neural Networks: According to the DOS equation, the concept of phonon density of states—also known as “vibrational density of states”—is identical …

History of Convolutional Network (1940-Present)

For practically all AI jobs involving computer vision and image processing, convolutional neural networks are the most crucial artificial neural network architecture today. We will briefly explore the history of …

Universal Approximation Theorem in Neural Networks with Proof

Let’s begin with the Perceptron, the most basic neural network. It functions as a NN in essence, with a single hidden layer that contains a single hidden unit with an …

Batch Normalization, Its Working, Forumla and Applications

Batch Normalization is the process of normalization that involves shifting the value of the sample variance in the data to a common scale without distorting contrasts in the value range. …

In this article, we will discuss “How Neural Network Extrapolate: From Feedforward To Graph Neural Networks”. Introduction to the Feedforward network In this article, you will understand How Neural Network …

Neural Networks Are Convex Regularizes Explanation with Example

In this article on DLS you will learn how Neural Networks Are Convex Regularizes. A complete explanation is provided that will remove all of your confusion. The develop actual representations …