Visual Studio Magazine

Neural Network Back-Propagation Using C#

Training a neural network is the process of finding a set of weight and bias values so that for a given set of inputs, the outputs produced by the neural network are very close to some target values.
InfoWorld

Styles of machine learning: Intro to neural networks

Modeled on the human brain, neural networks are one of the most common styles of machine learning. Get started with the basic design and concepts of artificial neural networks. Artificial intelligence ...
Diginomica

Generative AI needs better context - you can't talk about Large Language Models without reverse neural networks and backpropagation

The hype over Large Language Models (LLMs) has reached a fever pitch. But how much of the hype is justified? We can't answer that without some straight talk - and some definitions. Time for a ...
Business Wire

NTT Research and Cornell Scientists Introduce Deep Physical Neural Networks

As a result, scientists have attempted to improve the energy efficiency and speed of deep neural networks. The NTT Research/Cornell team has taken the approach of applying backpropagation to ...
Hosted on MSN

The cognitive research behind AI's rise

Federal funding for cognitive research in the late 1970s and early 1980s unexpectedly led to significant advancements in artificial intelligence. This research transformed our understanding of human ...

The rise of Yann LeCun, the 65-year-old NYU professor who is planning to leave Mark Zuckerberg’s highly paid team at Meta to launch his own AI startup

LeCun, 65, joined Facebook in December 2013 as the founding director of Fundamental AI Research, known as FAIR. He remains a ...
Visual Studio Magazine

Neural Network Training Using Back-Propagation

Neural networks can be used to classify data and make predictions. For example, you might want to predict the political party affiliation (Democrat, Republican, Independent) of a person based on ...