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#ErrorCorrectionCode

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Tan Sing Kuang<p>I dislike modulo 2 addition in linear error correction codes. I prefer the monotone Boolean circuit instead. NOT operations are trouble makers. Without them life is much better. Therefore I used a monotone circuit in my deep learning model. <a href="https://vixra.org/abs/2212.0193" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="">vixra.org/abs/2212.0193</span><span class="invisible"></span></a><br /><a href="https://mstdn.social/tags/deeplearning" class="mention hashtag" rel="tag">#<span>deeplearning</span></a> <a href="https://mstdn.social/tags/monotonecircuit" class="mention hashtag" rel="tag">#<span>monotonecircuit</span></a> <a href="https://mstdn.social/tags/ErrorCorrectionCode" class="mention hashtag" rel="tag">#<span>ErrorCorrectionCode</span></a> <a href="https://mstdn.social/tags/optimality" class="mention hashtag" rel="tag">#<span>optimality</span></a></p>
PatrikSpurzem<p>Was unendlich viele, unterschiedlich große und unterschiedlich im Volumen abnehmende und zunehmende in wiederum unterschiedlichen Geschwindigkeiten und zudem sich selbst durchdringen könnende Bälle mit einem Quantenalgorithmus zu tun hat, erkläre ich euch vielleicht nächstes Jahr. <br><a href="https://social.cologne/tags/quantum" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>quantum</span></a> <a href="https://social.cologne/tags/ErrorCorrectionCode" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ErrorCorrectionCode</span></a></p>