Deep Learning with Yacine on MSN

Stochastic depth for neural networks – explained clearly

A simple and clear explanation of stochastic depth — a powerful regularization technique that improves deep neural network ...
PC Magazine

liquid neural network

An AI neural network that continues to adapt its behavior when doing the work it was designed for, long after the training phase. The "liquid" in a liquid neural network (LNN) refers to flexibility ...
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 ...
PC Magazine

spiking neural network

An artificial neural network (ANN) that is said to be more like the human neural system, on which today's AI systems are loosely modeled. Rather than each neuron sending out a continuous value, the ...
InfoWorld

The most popular neural network styles and how they work

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...
The Next Web

Deep learning models DON’T need to be black boxes — here’s how

Deep neural networks can perform wonderful feats thanks to their extremely large and complicated web of parameters. But their complexity is also their curse: The inner workings of neural networks are ...
VentureBeat

A new technique called ‘concept whitening’ promises to provide neural network interpretability

Join top executives in San Francisco on July 11-12, to hear how leaders are integrating and optimizing AI investments for success. Learn More Deep neural networks can perform wonderful feats, thanks ...