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#tensorflow

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HackerNoon<p>Learn how to save, restore, and inspect TensorFlow models using checkpoints and tf.train.Checkpoint for robust training and deployment. <a href="https://hackernoon.com/how-to-save-and-load-tensorflow-models" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">hackernoon.com/how-to-save-and</span><span class="invisible">-load-tensorflow-models</span></a> <a href="https://mas.to/tags/tensorflow" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tensorflow</span></a></p>
HackerNoon<p>Master randomness in TensorFlow with tf.random.Generator and stateless RNGs. Learn best practices for reproducibility, distribution, and saving states. <a href="https://hackernoon.com/randomness-as-defined-by-machine-learnings-most-popular-language" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">hackernoon.com/randomness-as-d</span><span class="invisible">efined-by-machine-learnings-most-popular-language</span></a> <a href="https://mas.to/tags/tensorflow" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tensorflow</span></a></p>
HackerNoon<p>Learn to build and use custom C++ operations in TensorFlow, from kernel creation to Python integration—covering CPU, GPU, and Bazel builds. <a href="https://hackernoon.com/why-and-how-developers-extend-tensorflow-with-custom-kernels" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">hackernoon.com/why-and-how-dev</span><span class="invisible">elopers-extend-tensorflow-with-custom-kernels</span></a> <a href="https://mas.to/tags/tensorflow" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tensorflow</span></a></p>
HackerNoon<p>Explore TensorFlow NumPy: seamless interoperability, fast gradients, tf.function boosts, device control, and performance gains over classic NumPy. <a href="https://hackernoon.com/why-tensorflow-numpy-might-be-the-future-of-differentiable-programming" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">hackernoon.com/why-tensorflow-</span><span class="invisible">numpy-might-be-the-future-of-differentiable-programming</span></a> <a href="https://mas.to/tags/tensorflow" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tensorflow</span></a></p>
Peter Drake<p>tf.keras.layers.RandomRotation specifies the rotation as a fraction of 2*pi radians. Is this the work of a subversive tauist?</p><p><a href="https://mstdn.social/tags/math" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>math</span></a> <a href="https://mstdn.social/tags/tau" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tau</span></a> <a href="https://mstdn.social/tags/tensorflow" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tensorflow</span></a> <a href="https://mstdn.social/tags/keras" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>keras</span></a> <a href="https://mstdn.social/tags/mathstodon" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>mathstodon</span></a></p>
Verfassungklage@troet.cafe<p><a href="https://troet.cafe/tags/Mozilla" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Mozilla</span></a> stellt <a href="https://troet.cafe/tags/DeepSpeech" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DeepSpeech</span></a> ein.</p><p>DeepSpeech ist eine quelloffene, lokale <a href="https://troet.cafe/tags/Sprache" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Sprache</span></a>-zu-Text-Engine, die mit <a href="https://troet.cafe/tags/Machine" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Machine</span></a> <a href="https://troet.cafe/tags/Learning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Learning</span></a> unter Verwendung des <a href="https://troet.cafe/tags/TensorFlow" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TensorFlow</span></a>-Frameworks erstellt wurde. Es ist in Verbindung mit der ebenfalls von <a href="https://troet.cafe/tags/Mozilla" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Mozilla</span></a> zusammengestellten Stimmdatenbank Common Voice Corpus bereits auf einem Raspberry Pi 4 in Echtzeit lauffähig. </p><p><a href="https://linuxnews.de/mozilla-stellt-deepspeech-ein/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">linuxnews.de/mozilla-stellt-de</span><span class="invisible">epspeech-ein/</span></a></p>
Amici Is Me 🇵🇸 🇺🇦 🇳🇴<p>Anyone smart enough to understand this error?</p><p>This is <a href="https://fribygda.no/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> with <a href="https://fribygda.no/tags/Keras" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Keras</span></a> / <a href="https://fribygda.no/tags/Tensorflow" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Tensorflow</span></a> running in <a href="https://fribygda.no/tags/Anaconda" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Anaconda</span></a> PowerShell. I have too little expert knowledge to quite understand this error.</p><p>"indices[14,6] = -2147483648 is not in [0, 21)" hints that somewhere there's an integer overflow, maybe? Idk what this sentence means</p>
𝚑𝚐𝟾 :verified:<p>"TensorFlow Remote Code Execution with Malicious Model"</p><p>Old technique but good writeup</p><p><a href="https://splint.gitbook.io/cyberblog/security-research/tensorflow-remote-code-execution-with-malicious-model" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">splint.gitbook.io/cyberblog/se</span><span class="invisible">curity-research/tensorflow-remote-code-execution-with-malicious-model</span></a> <a href="https://infosec.exchange/tags/ctf" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ctf</span></a> <a href="https://infosec.exchange/tags/tensorflow" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tensorflow</span></a> <a href="https://infosec.exchange/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ai</span></a> <a href="https://infosec.exchange/tags/infosec" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>infosec</span></a></p>
Plone<p>Keynote announcement for Plone Conference 2025 and PyCon Finland 2025: "Muuttolintujen Kevät - Automatic Bird Sound Classifier" by Patrik Lauha from Helsinki University! ☀️ 🦉 🎤 </p><p>Discover how an innovative convolutional neural network, trained in Python with TensorFlow, identifies vocalizations from 263 Finnish bird species. </p><p><a href="https://2025.ploneconf.org/news/keynote-muuttolintujen-kevat-automatic-bird-sound-classifier" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">2025.ploneconf.org/news/keynot</span><span class="invisible">e-muuttolintujen-kevat-automatic-bird-sound-classifier</span></a> </p><p><a href="https://plone.social/tags/plone" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>plone</span></a> <a href="https://plone.social/tags/ploneconf2025" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ploneconf2025</span></a> <a href="https://plone.social/tags/pycon" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>pycon</span></a> <a href="https://plone.social/tags/pyconfinland" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>pyconfinland</span></a> <a href="https://plone.social/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> <a href="https://plone.social/tags/TensorFlow" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TensorFlow</span></a> <a href="https://plone.social/tags/keynote" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>keynote</span></a> <a href="https://plone.social/tags/conference" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>conference</span></a> <a href="https://plone.social/tags/JYUnique" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>JYUnique</span></a> <a href="https://plone.social/tags/opensource" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>opensource</span></a> <a href="https://plone.social/tags/research" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>research</span></a> <a href="https://plone.social/tags/citizenscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>citizenscience</span></a></p>
PloneConf 2025<p>Keynote announcement for Plone Conference 2025 and PyCon Finland 2025: "Muuttolintujen Kevät - Automatic Bird Sound Classifier" by Patrik Lauha from Helsinki University! ☀️ 🦉 🎤 </p><p>Discover how an innovative convolutional neural network, trained in Python with TensorFlow, identifies vocalizations from 263 Finnish bird species. </p><p><a href="https://2025.ploneconf.org/news/keynote-muuttolintujen-kevat-automatic-bird-sound-classifier" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">2025.ploneconf.org/news/keynot</span><span class="invisible">e-muuttolintujen-kevat-automatic-bird-sound-classifier</span></a> </p><p><a href="https://plone.social/tags/plone" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>plone</span></a> <a href="https://plone.social/tags/ploneconf2025" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ploneconf2025</span></a> <a href="https://plone.social/tags/pycon" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>pycon</span></a> <a href="https://plone.social/tags/pyconfinland" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>pyconfinland</span></a> <a href="https://plone.social/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> <a href="https://plone.social/tags/TensorFlow" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TensorFlow</span></a> <a href="https://plone.social/tags/keynote" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>keynote</span></a> <a href="https://plone.social/tags/conference" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>conference</span></a> <a href="https://plone.social/tags/JYUnique" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>JYUnique</span></a> <a href="https://plone.social/tags/opensource" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>opensource</span></a> <a href="https://plone.social/tags/research" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>research</span></a> <a href="https://plone.social/tags/citizenscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>citizenscience</span></a></p>
Habr<p>Русскоязычные LLM для вызова инструментов, переводов и финансовой аналитики</p><p>🧠 Русскоязычные LLM для вызова инструментов, переводов и финансовой аналитики Подборка моделей, которые действительно позволяют отказаться от OpenAI и вести разработку в закрытом контуре без подключения к интернету 🔌</p><p><a href="https://habr.com/ru/articles/920400/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">habr.com/ru/articles/920400/</span><span class="invisible"></span></a></p><p><a href="https://zhub.link/tags/typescript" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>typescript</span></a> <a href="https://zhub.link/tags/javascript" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>javascript</span></a> <a href="https://zhub.link/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> <a href="https://zhub.link/tags/llm" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>llm</span></a> <a href="https://zhub.link/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ai</span></a> <a href="https://zhub.link/tags/openai" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>openai</span></a> <a href="https://zhub.link/tags/grok" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>grok</span></a> <a href="https://zhub.link/tags/agents" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>agents</span></a> <a href="https://zhub.link/tags/tensorflow" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tensorflow</span></a> <a href="https://zhub.link/tags/gguf" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>gguf</span></a></p>
GripNews<p>🌕 模糊測試在程式移植中的驚人效能<br>➤ 人工智慧如何重塑程式移植的未來<br>✤ <a href="https://rjp.io/blog/2025-06-17-unreasonable-effectiveness-of-fuzzing" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">rjp.io/blog/2025-06-17-unreaso</span><span class="invisible">nable-effectiveness-of-fuzzing</span></a><br>本文探討了利用大型語言模型(LLM)進行程式移植,尤其是從C語言移植到Rust語言的可能性。作者分享了過往在TensorFlow專案中遇到的技術債問題,以及傳統移植方法的高成本和風險。他提出,藉由讓LLM編寫模糊測試並以拓撲排序的方式逐步移植程式碼,或許能有效自動化移植流程,並降低移植的難度和成本。透過具體的測試案例,作者認為LLM在面對明確目標時能展現出解決問題的創意,並探討瞭如何利用LLM進行大規模的程式重構和API更新。<br>+ 「文章很有啟發性,讓人思考未來軟體開發和維護的方式會因為LLM而有巨大的變革。」<br>+ 「我對LLM的程式移植能力感到驚訝,雖然效能可能還有進步空間,但這已經是一個令人振奮的開始。」<br><a href="https://mastodon.social/tags/%E4%BA%BA%E5%B7%A5%E6%99%BA%E6%85%A7" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>人工智慧</span></a> <a href="https://mastodon.social/tags/%E7%A8%8B%E5%BC%8F%E7%A7%BB%E6%A4%8D" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>程式移植</span></a> <a href="https://mastodon.social/tags/%E6%A8%A1%E7%B3%8A%E6%B8%AC%E8%A9%A6" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>模糊測試</span></a> <a href="https://mastodon.social/tags/Rust" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Rust</span></a> <a href="https://mastodon.social/tags/TensorFlow" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TensorFlow</span></a></p>
:rss: Hacker News<p>LLM Shibboleths determine AI effectiveness<br><a href="https://www.moderndescartes.com/essays/llm_shibboleths/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">moderndescartes.com/essays/llm</span><span class="invisible">_shibboleths/</span></a><br><a href="https://rss-mstdn.studiofreesia.com/tags/ycombinator" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ycombinator</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/Brian_Lee" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Brian_Lee</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/Brian_KLee" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Brian_KLee</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/Brian_Kihoon_Lee" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Brian_Kihoon_Lee</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/TensorFlow" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TensorFlow</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/AutoGraph" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AutoGraph</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/Chemistry" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Chemistry</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/software" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>software</span></a></p>
HGPU group<p>Thesis: Low-cost edge computing using upcycled smartphones</p><p><a href="https://mast.hpc.social/tags/EdgeComputing" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>EdgeComputing</span></a> <a href="https://mast.hpc.social/tags/TensorFlow" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TensorFlow</span></a> <a href="https://mast.hpc.social/tags/Package" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Package</span></a></p><p><a href="https://hgpu.org/?p=29915" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">hgpu.org/?p=29915</span><span class="invisible"></span></a></p>
Habr<p>Основы TensorFlow (keras) на примере Heart Disease Dataset</p><p>Основы Tensorflow(keras) на примере Heart Disease Dataset. Основные возможности Tensorflow(keras). Краткий гайд. Далее</p><p><a href="https://habr.com/ru/articles/909040/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">habr.com/ru/articles/909040/</span><span class="invisible"></span></a></p><p><a href="https://zhub.link/tags/tensorflow" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tensorflow</span></a> <a href="https://zhub.link/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> <a href="https://zhub.link/tags/ml" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ml</span></a></p>
Tomeu Vizoso<p>Finally found time to continue work on the Rockchip NPU. Plan to give this a strong push in the next few months:</p><p><a href="https://blog.tomeuvizoso.net/2025/05/rockchip-npu-update-5-progress-on.html" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">blog.tomeuvizoso.net/2025/05/r</span><span class="invisible">ockchip-npu-update-5-progress-on.html</span></a></p><p><a href="https://mastodon.social/tags/rockchip" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rockchip</span></a> <a href="https://mastodon.social/tags/rk3588" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rk3588</span></a> <a href="https://mastodon.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>machinelearning</span></a> <a href="https://mastodon.social/tags/npu" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>npu</span></a> <a href="https://mastodon.social/tags/mesa3d" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>mesa3d</span></a> <a href="https://mastodon.social/tags/kernel" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>kernel</span></a> <a href="https://mastodon.social/tags/linux" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>linux</span></a> <a href="https://mastodon.social/tags/mainline" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>mainline</span></a> <a href="https://mastodon.social/tags/tensorflow" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tensorflow</span></a></p>
Météo Blois<p>Début de résultat ce matin avec mon GNN <a href="https://mastodon.social/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> <a href="https://mastodon.social/tags/tensorflow" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tensorflow</span></a> <a href="https://mastodon.social/tags/meteo" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>meteo</span></a>. L'animation du Z500 commence à ressembler à qque chose (surtout les 1eres frames et pour le sud). Je n'ai qu'un dataset d'un mois, ça limite un peu l'hexhaustivité. Je sais quel va donc être mon sujet d'avancement prochainement.</p>
Habr<p>Использование Daterange для поиска разрывов истории записей SCD2</p><p>Привет, Хабр! Меня зовут Сергей Аладышев, работаю системным аналитиком на протяжении 10 лет, и в работе часто сталкиваюсь с задачами, в том числе типовыми, решения для которых выглядят понятными, но не всегда оптимальными, а главное затратными по времени. Появляется непреодолимое желание их оптимизировать. Сегодня хочу обсудить похожую задачу: «поиск разрывов истории записей», она же: «поиск разрывов истории SCD2 в SQL ». С задачей сталкивался несколько раз, но статей с её разбором не нашел, поэтому решил, что тема актуальна. Началось все, как и всегда, с получения исчерпывающих требований от заказчика:</p><p><a href="https://habr.com/ru/articles/907688/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">habr.com/ru/articles/907688/</span><span class="invisible"></span></a></p><p><a href="https://zhub.link/tags/tensorflow" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tensorflow</span></a> <a href="https://zhub.link/tags/%D1%81%D0%B8%D1%81%D1%82%D0%B5%D0%BC%D0%BD%D1%8B%D0%B9_%D0%B0%D0%BD%D0%B0%D0%BB%D0%B8%D0%B7" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>системный_анализ</span></a> <a href="https://zhub.link/tags/sql" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>sql</span></a> <a href="https://zhub.link/tags/postgresql" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>postgresql</span></a> <a href="https://zhub.link/tags/postgresql_performance" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>postgresql_performance</span></a> <a href="https://zhub.link/tags/%D0%BE%D0%BA%D0%BE%D0%BD%D0%BD%D1%8B%D0%B5_%D1%84%D1%83%D0%BD%D0%BA%D1%86%D0%B8%D0%B8" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>оконные_функции</span></a></p>
Habr<p>[Перевод] Децензурировать видео теперь проще, чем когда-либо</p><p>В прошлом месяце попросил ребят взломать часть моего видео на YouTube . Конкретнее — восстановить содержимое папки, которую «запиксил» начиная с отметки времени 4:57. Годами все так делают, чтобы размазать, точнее, «расквадратить» части видео с конфиденциальной информацией. И все это время слышно: — Небезопасно же! Захотят — прочитают! Так это правда? Как на самом деле‑то? Вопрос не праздный. Чтобы докопаться до истины, кинул клич: — Пятьдесят баксов тому, кто скажет, что написано под квадратиками!</p><p><a href="https://habr.com/ru/companies/selectel/articles/906154/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">habr.com/ru/companies/selectel</span><span class="invisible">/articles/906154/</span></a></p><p><a href="https://zhub.link/tags/selectel" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>selectel</span></a> <a href="https://zhub.link/tags/%D0%B8%D0%BD%D1%84%D0%BE%D1%80%D0%BC%D0%B0%D1%86%D0%B8%D0%BE%D0%BD%D0%BD%D0%B0%D1%8F_%D0%B1%D0%B5%D0%B7%D0%BE%D0%BF%D0%B0%D1%81%D0%BD%D0%BE%D1%81%D1%82%D1%8C" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>информационная_безопасность</span></a> <a href="https://zhub.link/tags/%D0%BE%D0%B1%D1%80%D0%B0%D0%B1%D0%BE%D1%82%D0%BA%D0%B0_%D0%B8%D0%B7%D0%BE%D0%B1%D1%80%D0%B0%D0%B6%D0%B5%D0%BD%D0%B8%D0%B9" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>обработка_изображений</span></a> <a href="https://zhub.link/tags/%D1%80%D0%B5%D0%B2%D0%B5%D1%80%D1%81%D0%B8%D0%BD%D0%B6%D0%B8%D0%BD%D0%B8%D1%80%D0%B8%D0%BD%D0%B3" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>реверсинжиниринг</span></a> <a href="https://zhub.link/tags/%D0%B2%D0%BE%D1%81%D1%81%D1%82%D0%B0%D0%BD%D0%BE%D0%B2%D0%BB%D0%B5%D0%BD%D0%B8%D0%B5_%D0%B8%D0%B7%D0%BE%D0%B1%D1%80%D0%B0%D0%B6%D0%B5%D0%BD%D0%B8%D0%B9" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>восстановление_изображений</span></a> <a href="https://zhub.link/tags/tensorflow" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tensorflow</span></a> <a href="https://zhub.link/tags/github" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>github</span></a> <a href="https://zhub.link/tags/%D0%B4%D0%B5%D0%BF%D0%B8%D0%BA%D1%81%D0%B5%D0%BB%D0%B8%D0%B7%D0%B0%D1%86%D0%B8%D1%8F" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>депикселизация</span></a> <a href="https://zhub.link/tags/%D0%BF%D0%B8%D0%BA%D1%81%D0%B5%D0%BB%D0%B8%D0%B7%D0%B0%D1%86%D0%B8%D1%8F" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>пикселизация</span></a> <a href="https://zhub.link/tags/%D1%80%D0%B0%D0%B7%D0%BC%D1%8B%D1%82%D0%B8%D0%B5" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>размытие</span></a></p>
Habr<p>Как из аналитики данных перейти в дата-сайентисты</p><p>Перевели и дополнили статью Марины Уисс, applied scientist (дата-сайентист со специализацией в прикладной статистике) в Twitch. Когда-то Марина перешла в IT из не связанной с технологиями сферы деятельности, а потом помогла с этим переходом многим людям без IT-бэкграунда. В этой статье она делится советами для дата-аналитиков, которым хотелось бы заниматься data science. А мы добавили мнение экспертов и рекомендации, актуальные для российских образовательных реалий.</p><p><a href="https://habr.com/ru/companies/netologyru/articles/905206/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">habr.com/ru/companies/netology</span><span class="invisible">ru/articles/905206/</span></a></p><p><a href="https://zhub.link/tags/%D0%BF%D1%80%D0%BE%D1%84%D0%B5%D1%81%D1%81%D0%B8%D1%8F_%D0%B4%D0%B0%D1%82%D0%B0_%D1%81%D0%B0%D0%B9%D0%B5%D0%BD%D1%82%D0%B8%D1%81%D1%82" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>профессия_дата_сайентист</span></a> <a href="https://zhub.link/tags/%D1%81%D1%82%D0%B0%D1%82%D1%8C_%D0%B4%D0%B0%D1%82%D0%B0%D1%81%D0%B0%D0%B9%D0%B5%D0%BD%D1%82%D0%B8%D1%81%D1%82%D0%BE%D0%BC" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>стать_датасайентистом</span></a> <a href="https://zhub.link/tags/data_science" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>data_science</span></a> <a href="https://zhub.link/tags/%D0%BF%D1%80%D0%BE%D0%B3%D0%BD%D0%BE%D0%B7%D1%8B_%D0%BD%D0%B0_%D0%B1%D1%83%D0%B4%D1%83%D1%89%D0%B5%D0%B5" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>прогнозы_на_будущее</span></a> <a href="https://zhub.link/tags/%D0%BC%D0%B0%D1%82%D0%B5%D0%BC%D0%B0%D1%82%D0%B8%D0%BA%D0%B0_%D0%B8_%D1%81%D1%82%D0%B0%D1%82%D0%B8%D1%81%D1%82%D0%B8%D0%BA%D0%B0" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>математика_и_статистика</span></a> <a href="https://zhub.link/tags/scikitlearn" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>scikitlearn</span></a> <a href="https://zhub.link/tags/tensorflow" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tensorflow</span></a> <a href="https://zhub.link/tags/pytorch" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>pytorch</span></a> <a href="https://zhub.link/tags/mlops" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>mlops</span></a> <a href="https://zhub.link/tags/docker" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>docker</span></a></p>