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#tensorflow

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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 noreferrer" 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 noreferrer" target="_blank">#<span>tensorflow</span></a> <a href="https://zhub.link/tags/python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>python</span></a> <a href="https://zhub.link/tags/ml" class="mention hashtag" rel="nofollow noopener noreferrer" 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 noreferrer" 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 noreferrer" target="_blank">#<span>rockchip</span></a> <a href="https://mastodon.social/tags/rk3588" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>rk3588</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/npu" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>npu</span></a> <a href="https://mastodon.social/tags/mesa3d" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>mesa3d</span></a> <a href="https://mastodon.social/tags/kernel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>kernel</span></a> <a href="https://mastodon.social/tags/linux" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>linux</span></a> <a href="https://mastodon.social/tags/mainline" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>mainline</span></a> <a href="https://mastodon.social/tags/tensorflow" class="mention hashtag" rel="nofollow noopener noreferrer" 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 noreferrer" target="_blank">#<span>python</span></a> <a href="https://mastodon.social/tags/tensorflow" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>tensorflow</span></a> <a href="https://mastodon.social/tags/meteo" class="mention hashtag" rel="nofollow noopener noreferrer" 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 noreferrer" 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 noreferrer" 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 noreferrer" target="_blank">#<span>системный_анализ</span></a> <a href="https://zhub.link/tags/sql" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>sql</span></a> <a href="https://zhub.link/tags/postgresql" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>postgresql</span></a> <a href="https://zhub.link/tags/postgresql_performance" class="mention hashtag" rel="nofollow noopener noreferrer" 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 noreferrer" target="_blank">#<span>оконные_функции</span></a></p>
OpenSourceSpeaker Lineup For OSCCA, OpenCV’s First Conference The OpenCV-SID Conference on Computer Visio...<br><br><a href="https://opencv.org/blog/speaker-lineup-for-oscca-opencvs-first-conference/" rel="nofollow noopener noreferrer" target="_blank">https://opencv.org/blog/speaker-lineup-for-oscca-opencvs-first-conference/</a><br><br><a rel="nofollow noopener noreferrer" class="mention hashtag" href="https://mastodon.social/tags/News" target="_blank">#News</a> <a rel="nofollow noopener noreferrer" class="mention hashtag" href="https://mastodon.social/tags/OpenCV" target="_blank">#OpenCV</a> <a rel="nofollow noopener noreferrer" class="mention hashtag" href="https://mastodon.social/tags/ai" target="_blank">#ai</a> <a rel="nofollow noopener noreferrer" class="mention hashtag" href="https://mastodon.social/tags/artificial" target="_blank">#artificial</a> <a rel="nofollow noopener noreferrer" class="mention hashtag" href="https://mastodon.social/tags/intelligence" target="_blank">#intelligence</a> <a rel="nofollow noopener noreferrer" class="mention hashtag" href="https://mastodon.social/tags/computer" target="_blank">#computer</a> <a rel="nofollow noopener noreferrer" class="mention hashtag" href="https://mastodon.social/tags/vision" target="_blank">#vision</a> <a rel="nofollow noopener noreferrer" class="mention hashtag" href="https://mastodon.social/tags/Keras" target="_blank">#Keras</a> <a rel="nofollow noopener noreferrer" class="mention hashtag" href="https://mastodon.social/tags/OSCCA" target="_blank">#OSCCA</a> <a rel="nofollow noopener noreferrer" class="mention hashtag" href="https://mastodon.social/tags/robotics" target="_blank">#robotics</a> <a rel="nofollow noopener noreferrer" class="mention hashtag" href="https://mastodon.social/tags/tensorflow" target="_blank">#tensorflow</a><br><br><a href="https://awakari.com/pub-msg.html?id=VjREAU8TgbNhQ2CgHIVq1hbAyTg&amp;interestId=OpenSource" rel="nofollow noopener noreferrer" target="_blank">Result Details</a>
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 noreferrer" 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 noreferrer" 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 noreferrer" 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 noreferrer" 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 noreferrer" 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 noreferrer" target="_blank">#<span>восстановление_изображений</span></a> <a href="https://zhub.link/tags/tensorflow" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>tensorflow</span></a> <a href="https://zhub.link/tags/github" class="mention hashtag" rel="nofollow noopener noreferrer" 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 noreferrer" 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 noreferrer" 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 noreferrer" 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 noreferrer" 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 noreferrer" 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 noreferrer" target="_blank">#<span>стать_датасайентистом</span></a> <a href="https://zhub.link/tags/data_science" class="mention hashtag" rel="nofollow noopener noreferrer" 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 noreferrer" 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 noreferrer" target="_blank">#<span>математика_и_статистика</span></a> <a href="https://zhub.link/tags/scikitlearn" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>scikitlearn</span></a> <a href="https://zhub.link/tags/tensorflow" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>tensorflow</span></a> <a href="https://zhub.link/tags/pytorch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>pytorch</span></a> <a href="https://zhub.link/tags/mlops" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>mlops</span></a> <a href="https://zhub.link/tags/docker" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>docker</span></a></p>
Habr<p>Сделано с любовью и TensorFlow: моя первая нейронка с нуля (без GPU и с бюджетом $0)</p><p>Когда я впервые села за компьютер с мыслью: «А не обучить ли мне нейросеть?» у меня не было понимания как это сделать и с чего начать. Зато была любовь к собакам, интерес к машинному обучению и желание разобраться, как всё работает. Так родился проект HappyPuppy - моя первая нейронка, которая распознаёт сибирского хаски и французского бульдога на фотографии. Просто загрузите фото (jpg, jpeg, png до 1MB) с вашим питомцем и модель предскажет породу. Далее я расскажу, как на домашнем Маке появилась и выросла моя первая сверточная нейронная сеть (CNN): от идеи до работающей модели — её создание, обучение и тестирование. Эта история будет особенно полезна новичкам в мире ИИ без опыта в программировании . Ссылка на код на GitHub, архитектура модели и маленький ликбез по сверточным нейронным сетям будут в конце статьи. А сейчас — история создания по шагам.</p><p><a href="https://habr.com/ru/articles/905718/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">habr.com/ru/articles/905718/</span><span class="invisible"></span></a></p><p><a href="https://zhub.link/tags/machine_learning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>machine_learning</span></a> <a href="https://zhub.link/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ai</span></a> <a href="https://zhub.link/tags/cnn" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>cnn</span></a> <a href="https://zhub.link/tags/neural_networks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>neural_networks</span></a> <a href="https://zhub.link/tags/flask" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>flask</span></a> <a href="https://zhub.link/tags/python3" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>python3</span></a> <a href="https://zhub.link/tags/tensorflow" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>tensorflow</span></a> <a href="https://zhub.link/tags/keras" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>keras</span></a></p>
UbuntuTensorflow and AEM It has been a while since google released Tensorflow support for java. Even th...<br><br><a href="https://lifepluslinux.blogspot.com/2017/12/tensorflow-and-aem.html" rel="nofollow noopener noreferrer" target="_blank">https://lifepluslinux.blogspot.com/2017/12/tensorflow-and-aem.html</a><br><br><a rel="nofollow noopener noreferrer" class="mention hashtag" href="https://mastodon.social/tags/AEM" target="_blank">#AEM</a> <a rel="nofollow noopener noreferrer" class="mention hashtag" href="https://mastodon.social/tags/Deeplearning" target="_blank">#Deeplearning</a> <a rel="nofollow noopener noreferrer" class="mention hashtag" href="https://mastodon.social/tags/ML" target="_blank">#ML</a> <a rel="nofollow noopener noreferrer" class="mention hashtag" href="https://mastodon.social/tags/Tensorflow" target="_blank">#Tensorflow</a><br><br><a href="https://awakari.com/pub-msg.html?id=UBRQIRIlwmrkV5DSL97Bn0xeRYe&amp;interestId=Ubuntu" rel="nofollow noopener noreferrer" target="_blank">Result Details</a>
UbuntuNeural network inference pipeline for videos in Tensorflow Just as we saw a huge influx of images...<br><br><a href="https://lifepluslinux.blogspot.com/2019/08/neural-network-inference-pipeline-for.html" rel="nofollow noopener noreferrer" target="_blank">https://lifepluslinux.blogspot.com/2019/08/neural-network-inference-pipeline-for.html</a><br><br><a rel="nofollow noopener noreferrer" class="mention hashtag" href="https://mastodon.social/tags/Deeplearning" target="_blank">#Deeplearning</a> <a rel="nofollow noopener noreferrer" class="mention hashtag" href="https://mastodon.social/tags/Tensorflow" target="_blank">#Tensorflow</a><br><br><a href="https://awakari.com/pub-msg.html?id=JmLFNDn5djL5KJtWnfhFfw8qdjU&amp;interestId=Ubuntu" rel="nofollow noopener noreferrer" target="_blank">Result Details</a>
Michael Zöllner<p>Setting up TensorFlow Lite for Raspberry Pi High Quality Camera and compiling rpicam-detect was surprisingly complicated. Installing a .deb and manually writing the .pc file worked in the end.</p><p>These links are helpful:<br><a href="https://lindevs.com/install-precompiled-tensorflow-lite-on-raspberry-pi/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">lindevs.com/install-precompile</span><span class="invisible">d-tensorflow-lite-on-raspberry-pi/</span></a><br><a href="https://github.com/raspberrypi/rpicam-apps/issues/622" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/raspberrypi/rpicam-</span><span class="invisible">apps/issues/622</span></a></p><p><a href="https://chaos.social/tags/tensorflow" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>tensorflow</span></a> <a href="https://chaos.social/tags/raspberrypi" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>raspberrypi</span></a></p>
LavX News<p>Unmasking the Pixels: How AI and Ingenious Techniques Are Breaking Video Censorship</p><p>In a fascinating experiment, tech enthusiasts have demonstrated that video pixelation is not as secure as many believe. Using a mix of AI, coding, and creativity, they successfully de-pixelated sensit...</p><p><a href="https://news.lavx.hu/article/unmasking-the-pixels-how-ai-and-ingenious-techniques-are-breaking-video-censorship" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">news.lavx.hu/article/unmasking</span><span class="invisible">-the-pixels-how-ai-and-ingenious-techniques-are-breaking-video-censorship</span></a></p><p><a href="https://mastodon.cloud/tags/news" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>news</span></a> <a href="https://mastodon.cloud/tags/tech" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>tech</span></a> <a href="https://mastodon.cloud/tags/VideoProcessing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>VideoProcessing</span></a> <a href="https://mastodon.cloud/tags/TensorFlow" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TensorFlow</span></a> <a href="https://mastodon.cloud/tags/ImageCensorship" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ImageCensorship</span></a></p>
FunctionalProgrammingInstall TensorFlow with GPU support on a RedHat (supercluster) I am working on a deep learning mo...<br><br><a href="https://thelazylog.com/install-tensorflow-with-gpu-support-on-sandbox-redhat/" rel="nofollow noopener noreferrer" target="_blank">https://thelazylog.com/install-tensorflow-with-gpu-support-on-sandbox-redhat/</a><br><br><a rel="nofollow noopener noreferrer" class="mention hashtag" href="https://mastodon.social/tags/debugging" target="_blank">#debugging</a> <a rel="nofollow noopener noreferrer" class="mention hashtag" href="https://mastodon.social/tags/deep" target="_blank">#deep</a> <a rel="nofollow noopener noreferrer" class="mention hashtag" href="https://mastodon.social/tags/learning" target="_blank">#learning</a> <a rel="nofollow noopener noreferrer" class="mention hashtag" href="https://mastodon.social/tags/tensorflow" target="_blank">#tensorflow</a><br><br><a href="https://awakari.com/pub-msg.html?id=KGMAmfxkdhSdxECPbsiDHZwcZqC" rel="nofollow noopener noreferrer" target="_blank">Event Attributes</a>
Habr<p>Ведущий разработчик ChatGPT и его новый проект — Безопасный Сверхинтеллект</p><p>Многие знают об Илье Суцкевере только то, что он выдающийся учёный и программист, родился в СССР, соосновал OpenAI и входит в число тех, кто в 2023 году изгнал из компании менеджера Сэма Альтмана. А когда того вернули, Суцкевер уволился по собственному желанию в новый стартап Safe Superintelligence («Безопасный Сверхинтеллект»). Илья Суцкевер действительно организовал OpenAI вместе с Маском, Брокманом, Альтманом и другими единомышленниками, причём был главным техническим гением в компании. Ведущий учёный OpenAI сыграл ключевую роль в разработке ChatGPT и других продуктов. Сейчас Илье всего 38 лет — совсем немного для звезды мировой величины.</p><p><a href="https://habr.com/ru/companies/ruvds/articles/892646/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">habr.com/ru/companies/ruvds/ar</span><span class="invisible">ticles/892646/</span></a></p><p><a href="https://zhub.link/tags/%D0%98%D0%BB%D1%8C%D1%8F_%D0%A1%D1%83%D1%86%D0%BA%D0%B5%D0%B2%D0%B5%D1%80" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Илья_Суцкевер</span></a> <a href="https://zhub.link/tags/Ilya_Sutskever" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Ilya_Sutskever</span></a> <a href="https://zhub.link/tags/OpenAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenAI</span></a> <a href="https://zhub.link/tags/10x_engineer" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>10x_engineer</span></a> <a href="https://zhub.link/tags/AlexNet" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AlexNet</span></a> <a href="https://zhub.link/tags/Safe_Superintelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Safe_Superintelligence</span></a> <a href="https://zhub.link/tags/ImageNet" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ImageNet</span></a> <a href="https://zhub.link/tags/%D0%BD%D0%B5%D0%BE%D0%BA%D0%BE%D0%B3%D0%BD%D0%B8%D1%82%D1%80%D0%BE%D0%BD" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>неокогнитрон</span></a> <a href="https://zhub.link/tags/GPU" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GPU</span></a> <a href="https://zhub.link/tags/GPGPU" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GPGPU</span></a> <a href="https://zhub.link/tags/CUDA" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CUDA</span></a> <a href="https://zhub.link/tags/%D0%BA%D0%BE%D0%BC%D0%BF%D1%8C%D1%8E%D1%82%D0%B5%D1%80%D0%BD%D0%BE%D0%B5_%D0%B7%D1%80%D0%B5%D0%BD%D0%B8%D0%B5" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>компьютерное_зрение</span></a> <a href="https://zhub.link/tags/LeNet" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LeNet</span></a> <a href="https://zhub.link/tags/Nvidia_GTX" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Nvidia_GTX</span></a>&nbsp;580 <a href="https://zhub.link/tags/DNNResearch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DNNResearch</span></a> <a href="https://zhub.link/tags/Google_Brain" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Google_Brain</span></a> <a href="https://zhub.link/tags/%D0%90%D0%BB%D0%B5%D0%BA%D1%81_%D0%9A%D1%80%D0%B8%D0%B6%D0%B5%D0%B2%D1%81%D0%BA%D0%B8" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Алекс_Крижевски</span></a> <a href="https://zhub.link/tags/%D0%94%D0%B6%D0%B5%D1%84%D1%84%D1%80%D0%B8_%D0%A5%D0%B8%D0%BD%D1%82%D0%BE%D0%BD" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Джеффри_Хинтон</span></a> <a href="https://zhub.link/tags/Seq2seq" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Seq2seq</span></a> <a href="https://zhub.link/tags/TensorFlow" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TensorFlow</span></a> <a href="https://zhub.link/tags/AlphaGo" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AlphaGo</span></a> <a href="https://zhub.link/tags/%D0%A2%D0%BE%D0%BC%D0%B0%D1%88_%D0%9C%D0%B8%D0%BA%D0%BE%D0%BB%D0%BE%D0%B2" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Томаш_Миколов</span></a> <a href="https://zhub.link/tags/Word2vec" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Word2vec</span></a> <a href="https://zhub.link/tags/fewshot_learning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>fewshot_learning</span></a> <a href="https://zhub.link/tags/%D0%BC%D0%B0%D1%88%D0%B8%D0%BD%D0%B0_%D0%91%D0%BE%D0%BB%D1%8C%D1%86%D0%BC%D0%B0%D0%BD%D0%B0" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>машина_Больцмана</span></a> <a href="https://zhub.link/tags/%D1%81%D0%B2%D0%B5%D1%80%D1%85%D0%B8%D0%BD%D1%82%D0%B5%D0%BB%D0%BB%D0%B5%D0%BA%D1%82" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>сверхинтеллект</span></a> <a href="https://zhub.link/tags/GPT" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GPT</span></a> <a href="https://zhub.link/tags/ChatGPT" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ChatGPT</span></a> <a href="https://zhub.link/tags/ruvds_%D1%81%D1%82%D0%B0%D1%82%D1%8C%D0%B8" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ruvds_статьи</span></a></p>
Habr<p>Конвейер машинного обучения для классификации рукописных цифр MNIST с использованием TensorFlow Extended (TFX)</p><p>В рамках данной статьи будет рассмотрено построение конвейера машинного обучения для классификации рукописных цифр из базы данных MNIST с использованием фреймворка TensorFlow и TFX, а также мониторинг процесса обучения с помощью TensorBoard и выпуск модели с автоматической генерацией к ней API с помощью TensorFlow Model Server. Основная цель данной статьи заключается в восполнении информационного пробела по теме использования TFX в контексте решения задачи классификации рукописных цифр MNIST, которая уже была представлена TensorFlow в виде одноименного репозитория tfx/tfx/examples/mnist .</p><p><a href="https://habr.com/ru/articles/898140/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">habr.com/ru/articles/898140/</span><span class="invisible"></span></a></p><p><a href="https://zhub.link/tags/python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>python</span></a> <a href="https://zhub.link/tags/tensorflow" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>tensorflow</span></a> <a href="https://zhub.link/tags/machine_learning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>machine_learning</span></a> <a href="https://zhub.link/tags/%D0%BA%D0%BE%D0%BD%D0%B2%D0%B5%D0%B9%D0%B5%D1%80%D1%8B" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>конвейеры</span></a> <a href="https://zhub.link/tags/tfx" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>tfx</span></a> <a href="https://zhub.link/tags/tensorflowmodelserver" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>tensorflowmodelserver</span></a> <a href="https://zhub.link/tags/tensorboard" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>tensorboard</span></a></p>
Jordi Cabot<p>📣📢 NEW Paper: <a href="https://fediscience.org/tags/Modelling" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Modelling</span></a> <a href="https://fediscience.org/tags/NeuralNetwork" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NeuralNetwork</span></a> Models + generators for <a href="https://fediscience.org/tags/TensorFlow" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TensorFlow</span></a> and <a href="https://fediscience.org/tags/PyTorch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PyTorch</span></a></p><p>🔖 <a href="https://modeling-languages.com/modelling-neural-network-models/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">modeling-languages.com/modelli</span><span class="invisible">ng-neural-network-models/</span></a></p><p>⚙️ Part of the latest BESSER release <a href="https://github.com/BESSER-PEARL/BESSER/releases" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/BESSER-PEARL/BESSER</span><span class="invisible">/releases</span></a></p>
Habr<p>Как мы оживили DPED: ИИ-проект для улучшения мобильных фото до снимков с «зеркалок»</p><p>Привет, Хабр! На связи команда регионального научно-образовательного центра «Искусственный интеллект и анализ больших данных» при НГТУ им. Р. Е. Алексеева. Сегодня практически у каждого крупного производителя смартфонов есть собственные системы улучшения качества фотографий, основанные на искусственном интеллекте. Помимо этого, существует множество аналогичных открытых моделей нейросетей. Возникает вопрос: зачем тогда мы решили оживить DPED (Deep Photo Enhancement Dataset) — созданный для тех же целей проект 2017 года? В статье мы ответим на этот вопрос, займемся оживлением и протестируем нашу модель DPED на фотографиях с планшета KVADRA_T.</p><p><a href="https://habr.com/ru/companies/yadro/articles/895084/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">habr.com/ru/companies/yadro/ar</span><span class="invisible">ticles/895084/</span></a></p><p><a href="https://zhub.link/tags/%D0%98%D1%81%D0%BA%D1%83%D1%81%D1%81%D1%82%D0%B2%D0%B5%D0%BD%D0%BD%D1%8B%D0%B9_%D0%B8%D0%BD%D1%82%D0%B5%D0%BB%D0%BB%D0%B5%D0%BA%D1%82" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Искусственный_интеллект</span></a> <a href="https://zhub.link/tags/%D0%A3%D0%BB%D1%83%D1%87%D1%88%D0%B5%D0%BD%D0%B8%D0%B5_%D1%84%D0%BE%D1%82%D0%BE%D0%B3%D1%80%D0%B0%D1%84%D0%B8%D0%B9" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Улучшение_фотографий</span></a> <a href="https://zhub.link/tags/%D0%9D%D0%B5%D0%B9%D1%80%D0%BE%D1%81%D0%B5%D1%82%D0%B8" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Нейросети</span></a> <a href="https://zhub.link/tags/TensorFlow" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TensorFlow</span></a> <a href="https://zhub.link/tags/%D0%93%D0%BB%D1%83%D0%B1%D0%BE%D0%BA%D0%BE%D0%B5_%D0%BE%D0%B1%D1%83%D1%87%D0%B5%D0%BD%D0%B8%D0%B5" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Глубокое_обучение</span></a> <a href="https://zhub.link/tags/SSIM_%D0%B8_PSNR" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SSIM_и_PSNR</span></a> <a href="https://zhub.link/tags/%D0%A3%D0%BB%D1%83%D1%87%D1%88%D0%B5%D0%BD%D0%B8%D0%B5_%D0%BA%D0%B0%D1%87%D0%B5%D1%81%D1%82%D0%B2%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 noreferrer" target="_blank">#<span>Улучшение_качества_изображений</span></a> <a href="https://zhub.link/tags/%D0%9F%D0%BE%D0%B4%D0%B3%D0%BE%D1%82%D0%BE%D0%B2%D0%BA%D0%B0_%D0%B4%D0%B0%D1%82%D0%B0%D1%81%D0%B5%D1%82%D0%B0" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Подготовка_датасета</span></a></p>
Peter Drake<p>PyCharm thinks I have TensorFlow 2.19 installed, but the official TensorFlow site thinks the most recent version is 2.17. </p><p><a href="https://mstdn.social/tags/TensorFlow" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TensorFlow</span></a> <a href="https://mstdn.social/tags/PyCharm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PyCharm</span></a> <a href="https://mstdn.social/tags/python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>python</span></a></p>
sc0v0ne<p>MCP, Agentic Knowledge Graphs &amp; AI Models: Solving Conversational Analytics</p><p><a href="https://www.eventbrite.com/e/mcp-agentic-knowledge-graphs-ai-models-solving-conversational-analytics-tickets-1304648411519?aff=ebemoffollowpublishemail&amp;ref=eemail&amp;utm_campaign=following_published_event&amp;utm_content=follow_notification&amp;utm_medium=email&amp;utm_source=eventbrite" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">eventbrite.com/e/mcp-agentic-k</span><span class="invisible">nowledge-graphs-ai-models-solving-conversational-analytics-tickets-1304648411519?aff=ebemoffollowpublishemail&amp;ref=eemail&amp;utm_campaign=following_published_event&amp;utm_content=follow_notification&amp;utm_medium=email&amp;utm_source=eventbrite</span></a></p><p>In this free webinar led by ex-Snowflake, Cloudera, and Amazon leaders, we'll unveil how cutting-edge LLMs (GPT 4.5, Sonnet 3.7, Deepseek V3/R1, Gemini 2.5, etc.) are revolutionizing data products. <br><a href="https://mastodon.social/tags/python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>python</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/deeplearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>deeplearning</span></a> <a href="https://mastodon.social/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ai</span></a> <a href="https://mastodon.social/tags/developer" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>developer</span></a> <a href="https://mastodon.social/tags/dev" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>dev</span></a> <a href="https://mastodon.social/tags/devsecops" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>devsecops</span></a> <a href="https://mastodon.social/tags/devops" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>devops</span></a> <a href="https://mastodon.social/tags/mlops" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>mlops</span></a> <a href="https://mastodon.social/tags/learn" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>learn</span></a> <a href="https://mastodon.social/tags/learning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>learning</span></a> <a href="https://mastodon.social/tags/study" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>study</span></a> <a href="https://mastodon.social/tags/git" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>git</span></a> <a href="https://mastodon.social/tags/github" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>github</span></a> <a href="https://mastodon.social/tags/codeberg" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>codeberg</span></a> <a href="https://mastodon.social/tags/tensorflow" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>tensorflow</span></a> <a href="https://mastodon.social/tags/pytorch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>pytorch</span></a> <a href="https://mastodon.social/tags/jax" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>jax</span></a> <a href="https://mastodon.social/tags/huggingface" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>huggingface</span></a> <a href="https://mastodon.social/tags/linux" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>linux</span></a> <a href="https://mastodon.social/tags/ubuntu" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ubuntu</span></a> <a href="https://mastodon.social/tags/popos" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>popos</span></a> <a href="https://mastodon.social/tags/llm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>llm</span></a></p>
🇺🇦𖤐AlderForrest 𖤐 🇺🇦<p><span>Heitetääs nopia pallo tänne: onko olemassa </span><a href="https://1m2lab.anvil.top/tags/EU" rel="nofollow noopener noreferrer" target="_blank">#EU</a><span> vastinetta AI-tunnistusmalleille objektien tunnistamiseen mallia </span><a href="https://1m2lab.anvil.top/tags/YOLO" rel="nofollow noopener noreferrer" target="_blank">#YOLO</a><span> tai </span><a href="https://1m2lab.anvil.top/tags/tensorflow" rel="nofollow noopener noreferrer" target="_blank">#tensorflow</a><span>?</span></p>