Deep Learning with Yacine on MSN

Backpropagation from scratch in Python – step by step neural network tutorial

Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding behind training a neural network, helping you truly understand how deep ...
Hosted on MSN

Neural Network python from scratch | MultiClass Classification with Softmax

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...
GitHub

Lucxtor/Artificial-Neural-Network

Este repositório apresenta uma implementação de uma Rede Neural Artificial (RNA) desenvolvida do zero em Python, utilizando apenas bibliotecas de baixo nível e recursos fundamentais da linguagem. O ...
GitHub

Simple Artificial Neural Networks

Simple Artificial Neural Networks (SANN) is a naive Python implementation of an artificial neural network (ANN) that's useful for educational purposes and clarifying the concepts of feed-forward ...
Scientific Research Publishing

Magoulas, G.D., Vrahatis, M.N. and Androulakis, G.S. (1999) Improving the Convergence of the Backpropagation Algorithm Using Learning Rate Adaptation Methods. Neural ...

ABSTRACT: This paper proposes a unique approach to load forecasting using a fast convergent artificial neural network (ANN) and is driven by the critical need for power system planning. The Mazoon ...
IEEE

A Study of Crop Yield Prediction Based on Backpropagation Artificial Neural Network (BP- ANN)

Abstract: Under the background of food security, the research of crop growth models has attracted much attention. There is an urgent need for simplified crop yield forecasting methods based on ...