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Deep Learning with Yacine on MSN4d
Backpropagation From Scratch in Python
Build your own backpropagation algorithm from scratch using Python — perfect for hands-on learners!
InfoQ2y
Deep Learning Pioneer Geoffrey Hinton Publishes New Deep Learning Algorithm
Hinton's motivation for the algorithm is to address some of the shortcomings of standard backpropagation training which requires full knowledge of the computation in the forward pass to compute ...
Diginomica2y
Generative AI needs better context - you can't talk about Large Language Models without reverse neural networks and backpropagation
It is a mathematical method for training neural networks to recognize patterns in data. The history and development of the backpropagation algorithm, including the contributions of Paul Werbos, take ...
The Economist9mon
AI scientists are producing new theories of how the brain learns
Dr Hinton popularised a clever mathematical algorithm known as backpropagation to solve this problem in artificial neural networks. But it was long thought to be too unwieldy to have evolved in ...
EurekAlert!5mon
A backpropagation algorithm for mechanical neural networks (IMAGE)
Obtaining the gradient of what's known as the loss function is an essential step to establish the backpropagation algorithm developed by University of Michigan researchers to train a material.
Business Wire3y
NTT Research and Cornell Scientists Introduce Deep Physical Neural Networks
The team released its findings in an article titled “Deep physical neural networks trained with backpropagation,” published on January 26 in Nature, one of the world’s most cited scientific ...
Semiconductor Engineering6mon
Backpropagation Algorithm On Neuromorphic Spiking HW (U. Of Zurich, ETH Zurich, LANL)
A new technical paper titled “The backpropagation algorithm implemented on spiking neuromorphic hardware” was published by University of Zurich, ETH Zurich, Los Alamos National Laboratory, Royal ...