Chapi's AI Lecture Room | Part 4 Backpropagation: How does AI know 'what to fix'?

Last time, I explained why neural networks need activation functions. Today, let's take up a very important mechanism that ...

Chapi's Deep Learning Lecture Room | Part 20: How Does AI Learn as a Single Model? — Connecting the Techniques Learned Over 20 Sessions

Natsume: I will be the one explaining today.Over the past 19 sessions, we have learned various mechanisms that support deep ...
techtarget

What is a backpropagation algorithm?

A backpropagation algorithm, or backward propagation of errors, is an algorithm that's used to help train neural network models. The algorithm adjusts the network's weights to minimize any gaps -- ...
EurekAlert!

Bio-inspired backpropagation-free training for optical neural networks

Optical neural networks(ONNs), with their potential for light-speed parallel and ultra-low-power operations, are seen as the next-generation hardware to overcome the ...
Semiconductor Engineering

The Optical Implementation of Backpropagation (Oxford, Lumai)

A technical paper titled “Training neural networks with end-to-end optical backpropagation” was published by researchers at University of Oxford and Lumai Ltd. “Optics is an exciting route for the ...
Tech Times on MSN

Q Labs dust algorithm: backpropagation-free pretraining now beats Adam baseline

Backpropagation-free AI training reaches a milestone: Q Labs' Dust algorithm uses only forward passes to train transformers, ...