Learn With Jay on MSN

Backpropagation in neural networks step-by-step explained

Understand the Maths behind Backpropagation in Neural Networks. In this video, we will derive the equations for the Back ...
Learn With Jay on MSN

Build a deep neural network from scratch in Python

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write ...
GitHub

Intent Classification with Feedforward Neural Network

This repository implements a Feedforward Neural Network (FFNN) in Python to classify intent from the NLU Benchmark dataset. The project focuses on understanding the learning process through manual ...
IEEE

Reducing Training Time of Deep Learning Based Digital Backpropagation by Stacking

Abstract: A method for reducing the training time of a deep learning based digital backpropagation (DL-DBP) is presented. The method is based on dividing a link into smaller sections. A smaller ...
IEEE

Plasma Electron Density Estimation Using Backpropagation Neural Network

Abstract: It is important to study the electron density distribution of plasma sheath to inhibit the blackout phenomenon of reentry vehicle. In this article, we propose a new method to predict the ...
Microsoft

Gradients without Backpropagation

Using backpropagation to compute gradients of objective functions for optimization has remained a mainstay of machine learning. Backpropagation, or reverse-mode differentiation, is a special case ...