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#tensors

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HackerNoon<p>Learn how to slice, extract, and insert data in tensors using TensorFlow APIs—essential skills for efficient ML and NLP model development. <a href="https://hackernoon.com/tensor-slicing-and-data-insertion-made-easy-with-tensorflow" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">hackernoon.com/tensor-slicing-</span><span class="invisible">and-data-insertion-made-easy-with-tensorflow</span></a> <a href="https://mas.to/tags/tensors" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tensors</span></a></p>
IT News<p>No Tension for Tensors? - We always enjoy [FloatHeadPhysics] explaining any math or physics topic. We don’t ... - <a href="https://hackaday.com/2025/07/09/no-tension-for-tensors/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">hackaday.com/2025/07/09/no-ten</span><span class="invisible">sion-for-tensors/</span></a> <a href="https://schleuss.online/tags/science" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>science</span></a> <a href="https://schleuss.online/tags/tensors" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tensors</span></a> <a href="https://schleuss.online/tags/tensor" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tensor</span></a> <a href="https://schleuss.online/tags/math" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>math</span></a></p>
Arthur Hau, PhD🐶🐱🌱🎵🦣<p>There are two obstacles when you use <a href="https://tribe.net/tags/Assemblyscript" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Assemblyscript</span></a> and <a href="https://tribe.net/tags/Deno" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Deno</span></a> for <a href="https://tribe.net/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a> <a href="https://tribe.net/tags/ML" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ML</span></a> and <a href="https://tribe.net/tags/SmallLanguageModels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SmallLanguageModels</span></a> <a href="https://tribe.net/tags/SLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SLM</span></a>. 1. Assemblyscript works with linear memory and you have to flatten 3D <a href="https://tribe.net/tags/tensors" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tensors</span></a> and 2D <a href="https://tribe.net/tags/matrices" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>matrices</span></a> into 1D <a href="https://tribe.net/tags/arrays" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>arrays</span></a> for doing any matrix algebra. 2. Deno is a bit more complicated than Node.js when working with <a href="https://tribe.net/tags/WASM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>WASM</span></a> (<a href="https://tribe.net/tags/Webassemly" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Webassemly</span></a>) files. Here is how you do it. Webassembly makes NNUE models even faster in computation. This together with <a href="https://tribe.net/tags/WebGPU" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>WebGPU</span></a> will become our future. <a href="https://tribe.net/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://tribe.net/tags/javascript" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>javascript</span></a></p>
Leandro (Cerberus1746)<p>hello, I have a couple questions about <a href="https://mastodon.gamedev.place/tags/physics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>physics</span></a> more precisely <a href="https://mastodon.gamedev.place/tags/relativity" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>relativity</span></a> </p><p>How do I actually use <a href="https://mastodon.gamedev.place/tags/metric" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>metric</span></a> <a href="https://mastodon.gamedev.place/tags/tensors" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tensors</span></a>? Do I just do a dot product over the elements with a vector? If a metric tensor has a variable inside, does that variable comes from the vector and I just replace it? After I replace the vector and do the equation, only then I do the dot product?</p><p>If I want to have the inverse of a metric tensor, do I just do a <a href="https://mastodon.gamedev.place/tags/matrix" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>matrix</span></a> inversion?</p><p><a href="https://mastodon.gamedev.place/tags/physicsquestion" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>physicsquestion</span></a> <a href="https://mastodon.gamedev.place/tags/pleaseboost" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>pleaseboost</span></a> <a href="https://mastodon.gamedev.place/tags/pleaseboostme" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>pleaseboostme</span></a></p>
Cenobyte :abunhdowohop:<p>Good high level overview of what <a href="https://mastodon.thirring.org/tags/tensors" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tensors</span></a> are <br><a href="https://www.quantamagazine.org/the-geometric-tool-that-solved-einsteins-relativity-problem-20240812/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">quantamagazine.org/the-geometr</span><span class="invisible">ic-tool-that-solved-einsteins-relativity-problem-20240812/</span></a></p>
Thomas Kahle<p>A Counter-Counterexample!! </p><p>Comon’s Conjecture is undead now. </p><p><a href="https://epubs.siam.org/doi/full/10.1137/23M1623781" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">epubs.siam.org/doi/full/10.113</span><span class="invisible">7/23M1623781</span></a></p><p><a href="https://machteburch.social/tags/tensors" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tensors</span></a> <a href="https://machteburch.social/tags/formalizationFixesThis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>formalizationFixesThis</span></a> <span class="h-card" translate="no"><a href="https://mathstodon.xyz/@MoritzFirsching" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>MoritzFirsching</span></a></span></p>
Francois Dion<p>What's a good mid range GPU option for servers these days for training models? Something *available*...</p><p><a href="https://mastodon.online/tags/GPU" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GPU</span></a> <a href="https://mastodon.online/tags/ml" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ml</span></a> <a href="https://mastodon.online/tags/tensors" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tensors</span></a> <a href="https://mastodon.online/tags/server" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>server</span></a> <a href="https://mastodon.online/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ai</span></a></p>
j_bertolotti<p>I have added to my personal webpage a brief high school math-level introduction to what tensors are, with the hope to make them a bit less scary to people encountering them for the first time:<br><a href="https://jacopobertolotti.com/TensorsIntro.html" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">jacopobertolotti.com/TensorsIn</span><span class="invisible">tro.html</span></a><br><a href="https://mathstodon.xyz/tags/ITeachPhysics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ITeachPhysics</span></a> <a href="https://mathstodon.xyz/tags/ITeachMath" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ITeachMath</span></a> <a href="https://mathstodon.xyz/tags/Tensors" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Tensors</span></a></p>
Matthew Adams<p>A quick video culled from one of our internal "show and tell" sessions at <a href="https://dotnet.social/tags/endjin" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>endjin</span></a>. Ian Griffiths talks about <a href="https://dotnet.social/tags/tensors" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tensors</span></a> and <a href="https://dotnet.social/tags/GPT" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GPT</span></a> with <a href="https://dotnet.social/tags/TorchSharp" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TorchSharp</span></a>.</p><p><a href="https://youtu.be/KN9uiCHw9N0" rel="nofollow noopener" target="_blank"><span class="invisible">https://</span><span class="">youtu.be/KN9uiCHw9N0</span><span class="invisible"></span></a></p>