GitHub

City2Graph: GeoAI with Graph Neural Networks (GNNs) and Spatial Network Analysis

This installs the core functionality without PyTorch and PyTorch Geometric. To use PyTorch and PyTorch Geometric with City2Graph installed from conda-forge, you need to manually add these libraries to ...
IEEE

Optimising Neural Networks with Fine-Grained Forward-Forward Algorithm: A Novel Backpropagation-Free Training Algorithm

Abstract: This paper introduces the Fine-Grained Forward-Forward Algorithm (FGFF), a novel backpropagation-free network training methodology that builds upon the foundational Forward-Forward algorithm ...
Frontiers

Intelligent pavement moduli back-calculation using an SEM–Transformer framework

The final, formatted version of the article will be published soon. This study proposes an intelligent back-calculation framework for accurately estimating the elastic moduli of multilayer pavements ...
Deep Learning with Yacine on MSN

Learn backpropagation derivation step by step – neural networks made easy

Master the derivation of backpropagation with a clear, step-by-step explanation! Understand how neural networks compute ...
IEEE

Rapid assessment models for neutron beams of BNCT based on backpropagation neural network

Abstract: With the rising global cancer incidence, addressing cancer has become a major international priority. Efficient cancer treatment methods are in high demand. Boron Neutron Capture Therapy ...
Frontiers

Research on deformation prediction method for mining-induced overburden in coal mines based on BP neural network

Coal mining triggers the initiation, propagation, and coalescence of fractures in overburden strata, which can readily induce geological disasters such as mine water inrush and surface subsidence.
GitHub

Official Code for Article “A neural network model for concept formation, understanding and communication”

CATS-Net (Concept Abstraction and Task-Solving Network) is a comprehensive framework for understanding and implementing concept abstraction in neural networks. The system combines supervised learning ...
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 the code, but it's entirely from scratch in python. We will code Deep Neural ...