Deep Learning with Yacine on MSN

Network in Network (NiN) Explained – Deep Neural Network Tutorial with PyTorch

Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...

Plush neuron makes AI approachable, simplifies neural networks for middle schoolers

A team at Carnegie Mellon University is helping kids understand artificial intelligence with a soft, squishy, LED-lit neural ...
Hosted 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 ...
IEEE

Tutorial: Basic Design Approaches to Accelerating Deep Neural Networks

Abstract: Deep neural networks are used across a wide range of applications. Custom hardware optimizations for this field offer significant performance and power advantages compared to general-purpose ...
Scientific Research Publishing

Marzban, C. (2009) Basic Statistics and Basic AI: Neural Networks. In: Haupt, S.E., Pasini, A. and Marzban, C., Eds., Artificial Intelligence Methods in the Environmental ...

ABSTRACT: Ocean color is determined by the complex interactions of incident light with the optical properties of suspended and dissolved substances. Such interactions give water its characteristic ...
Wall Street Journal

Pam Bondi Needs a Free Speech Tutorial

Attorney General Pam Bondi pledges to go after "hate speech," saying there's no place for it after Charlie Kirk’s assassination. But that isn't U.S. law under the First Amendment, and Kirk himself ...
C&EN

Multilevel Fusion Graph Neural Network for Molecule Property Prediction

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jcim.5c01525. Efficiency analysis of different normalization strategies ...
IEEE

Revisiting Edge Perturbation for Graph Neural Network in Graph Data Augmentation and Attack

Abstract: Edge perturbation is a basic method to modify graph structures. It can be categorized into two veins based on their effects on the performance of graph neural networks (GNNs), i.e., graph ...
Quanta Magazine

How Can AI ID a Cat? An Illustrated Guide.

Neural networks power today’s AI boom. To understand them, all we need is a map, a cat and a few thousand dimensions. Look at a picture of a cat, and you’ll instantly recognize it as a cat. But try to ...
TheServerSide

A JavaScript functional programming basic tutorial

Functional programming, as the name implies, is about functions. While functions are part of just about every programming paradigm, including JavaScript, a functional programmer has unique ...