Artificial intelligence is now part of our daily lives, with the subsequent pressing need for larger, more complex models.

For every motor skill you've ever learned, whether it's walking or watchmaking, there is a small ensemble of neurons in your ...

Artificial intelligence is now part of our daily lives, with the subsequent pressing need for larger, more complex models.

Global Data & AI Virtual Tech Conference (GDAI 2025), the biggest virtual tech conference organized by DataGlobal Hub, was concluded with resounding success, uniting participants from various ...

This study presents valuable computational findings on the neural basis of learning new motor memories without interfering with previously learned behaviours using recurrent neural networks. The ...

Researchers have developed a new tool, bimodularity, that adds directionality to community detection in networks.

This video is an overall package to understand Dropout in Neural Network and then implement it in Python from scratch. Dropout in Neural Network is a regularization technique in Deep Learning to ...

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 ...

Lecture 2: crash course on programming neural networks In the second session, we move beyond Python basics to implement a simple neural network entirely from scratch using Python and a few standard ...

Classification with Neural Networks Overview This repository contains my implementation of a feed-forward neural network classifier in Python and Keras, trained on the Fashion-MNIST dataset.