IEEE

Adaptive Back-Propagation Neural Network and Particle Swarm Optimization-Based Approach for Optimizing the Output Power Biogas Fueled Electric Generator

Abstract: The utilization of biogas contributes significantly to the reduction of greenhouse gas emissions and diminishes the dependency on traditional fossil fuels. Nonetheless, the consistency and ...
Deep Learning with Yacine on MSN

Deep neural network from scratch in Python – fully connected feedforward tutorial

Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory, forward propagation, backpropagation, and coding step by step for a hands ...
IEEE

Neural Network Model Using Levenberg Marquardt Backpropagation Algorithm for the Prandtl Fluid Flow Over Stratified Curved Sheet

Abstract: Artificial intelligence has proliferated across numerous fields of study as a result of its rapid and accurate response times. Its application in fluid dynamics for optimization and ...
Deep Learning with Yacine on MSN

Backpropagation with automatic differentiation from scratch in Python

Learn how backpropagation works using automatic differentiation in Python. Step-by-step implementation from scratch. #Backpropagation #Python #DeepLearning ...