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#backpropagation

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N-gated Hacker News<p>🚀 Behold, the groundbreaking revelation that neural networks can be trained without <a href="https://mastodon.social/tags/backpropagation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>backpropagation</span></a> or forward-propagation! 😲 Why bother with actual <a href="https://mastodon.social/tags/science" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>science</span></a> when you can just wave your hands and hope for the best? 🤦‍♂️ Thank you, <a href="https://mastodon.social/tags/arXiv" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>arXiv</span></a>, for this enlightening display of 🤡 <a href="https://mastodon.social/tags/innovation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>innovation</span></a>.<br><a href="https://arxiv.org/abs/2503.24322" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">arxiv.org/abs/2503.24322</span><span class="invisible"></span></a> <a href="https://mastodon.social/tags/neuralnetworks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>neuralnetworks</span></a> <a href="https://mastodon.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>machinelearning</span></a> <a href="https://mastodon.social/tags/HackerNews" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>HackerNews</span></a> <a href="https://mastodon.social/tags/ngated" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ngated</span></a></p>
Hacker News<p>NoProp: Training Neural Networks without Back-propagation or Forward-propagation</p><p><a href="https://arxiv.org/abs/2503.24322" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">arxiv.org/abs/2503.24322</span><span class="invisible"></span></a></p><p><a href="https://mastodon.social/tags/HackerNews" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>HackerNews</span></a> <a href="https://mastodon.social/tags/NoProp" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NoProp</span></a> <a href="https://mastodon.social/tags/Neural" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Neural</span></a> <a href="https://mastodon.social/tags/Networks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Networks</span></a> <a href="https://mastodon.social/tags/Training" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Training</span></a> <a href="https://mastodon.social/tags/Backpropagation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Backpropagation</span></a> <a href="https://mastodon.social/tags/Innovation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Innovation</span></a> <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a></p>
Elod Pal Csirmaz<p>A new type of <a href="https://fosstodon.org/tags/neuralnetworks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>neuralnetworks</span></a> and <a href="https://fosstodon.org/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> 1/3</p><p>I've been thinking that <a href="https://fosstodon.org/tags/backpropagation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>backpropagation</span></a> based neural networks will reach their peak (if they haven't already), and it may be interesting to search for a new learning method. Some observations and ideas:</p><p>The two main modes of <a href="https://fosstodon.org/tags/neuralnetworks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>neuralnetworks</span></a> - training when weights are adjusted, and prediction when states change should be merged. After all real-life brains do prediction and learning at the same time, and they are not restarted for every task. ...</p>
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