IEEE

Dynamical Causal Graph Neural Network for EEG Emotion Recognition

Abstract: Recently, topological graphs based on structural or functional connectivity of brain network have been utilized to construct graph neural networks (GNN) for Electroencephalogram (EEG) ...
IEEE

A Graph Neural Network-Based Dual Attention Fusion Network for CSI-Based Activity Recognition

Abstract: Over the past decade, Channel State Information (CSI)-based human activity recognition (HAR) has attracted wide attention. Despite significant advancements, existing CSI-based HAR methods ...
Deep Learning with Yacine on MSN

Neural network from scratch in Java

Step-by-step guide to building a neural network entirely from scratch in Java. Perfect for learning the fundamentals of deep ...
Scientific Research Publishing

Organoid Intelligence: Bridging the Gap Between Biological and Artificial Neural Networks ()

Organoid Intelligence (OI) represents a groundbreaking convergence of biology and technology, aiming to redefine biocomputing using brain organoids—three-dimensional neural structures derived from ...
Hosted 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 ...
GitHub

chandril-mallick/neural-foundations

A mathematically rigorous implementation of a Neural Network library built entirely from scratch using Python and NumPy. This project eschews high-level frameworks (PyTorch, TensorFlow) to demonstrate ...