#tensorflow — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #tensorflow, aggregated by home.social.
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One Open-source Project Daily
Reversi reinforcement learning by AlphaGo Zero methods.
https://github.com/mokemokechicken/reversi-alpha-zero
#1ospd #opensource #alphagozero #deeplearning #keras #machinelearning #reinforcementlearning #reversi #tensorflow -
PyTorch vs. TensorFlow: Choosing the Right Framework in 2026
#Python #Pycharm #Datascience #Pytorch #Tensorflowhttps://blog.jetbrains.com/pycharm/2026/05/pytorch-vs-tensorflow-choosing-framework-2026/
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PyTorch vs. TensorFlow: Choosing the Right Framework in 2026
#Python #Pycharm #Datascience #Pytorch #Tensorflowhttps://blog.jetbrains.com/pycharm/2026/05/pytorch-vs-tensorflow-choosing-framework-2026/
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PyTorch vs. TensorFlow: Choosing the Right Framework in 2026
#Python #Pycharm #Datascience #Pytorch #Tensorflowhttps://blog.jetbrains.com/pycharm/2026/05/pytorch-vs-tensorflow-choosing-framework-2026/
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PyTorch vs. TensorFlow: Choosing the Right Framework in 2026
#Python #Pycharm #Datascience #Pytorch #Tensorflowhttps://blog.jetbrains.com/pycharm/2026/05/pytorch-vs-tensorflow-choosing-framework-2026/
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PyTorch vs. TensorFlow: Choosing the Right Framework in 2026
#Python #Pycharm #Datascience #Pytorch #Tensorflowhttps://blog.jetbrains.com/pycharm/2026/05/pytorch-vs-tensorflow-choosing-framework-2026/
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FOSS, single-file, vanilla, save with CTRL + S. This is designed to make single file webpages/programs in absolute position or VW. The keyboard is like Vi. 20 levels per project. #AI #MachineLearning #DeepLearning #DataScience #Python #NLP #ComputerVision #BigData #ArtificialIntelligence #TensorFlow #PyTorch #DataViz #NeuralNetworks #MLOps #LLM
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FOSS, single-file, vanilla, save with CTRL + S. This is designed to make single file webpages/programs in absolute position or VW. The keyboard is like Vi. 20 levels per project. #AI #MachineLearning #DeepLearning #DataScience #Python #NLP #ComputerVision #BigData #ArtificialIntelligence #TensorFlow #PyTorch #DataViz #NeuralNetworks #MLOps #LLM
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FOSS, single-file, vanilla, save with CTRL + S. This is designed to make single file webpages/programs in absolute position or VW. The keyboard is like Vi. 20 levels per project. #AI #MachineLearning #DeepLearning #DataScience #Python #NLP #ComputerVision #BigData #ArtificialIntelligence #TensorFlow #PyTorch #DataViz #NeuralNetworks #MLOps #LLM
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FOSS, single-file, vanilla, save with CTRL + S. This is designed to make single file webpages/programs in absolute position or VW. The keyboard is like Vi. 20 levels per project. #AI #MachineLearning #DeepLearning #DataScience #Python #NLP #ComputerVision #BigData #ArtificialIntelligence #TensorFlow #PyTorch #DataViz #NeuralNetworks #MLOps #LLM
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FOSS, single-file, vanilla, save with CTRL + S. This is designed to make single file webpages/programs in absolute position or VW. The keyboard is like Vi. 20 levels per project. #AI #MachineLearning #DeepLearning #DataScience #Python #NLP #ComputerVision #BigData #ArtificialIntelligence #TensorFlow #PyTorch #DataViz #NeuralNetworks #MLOps #LLM
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How to Train Your First TensorFlow Model in PyCharm
#Python #Pycharm #Datascience #Tutorials #Tensorflow #Tensorshttps://blog.jetbrains.com/pycharm/2026/04/how-to-train-your-first-tensorflow-model/
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Quarky Intellio – A LEGO-compatible AI, Augmented Reality, and IoT learning platform (Crowdfunding)
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Brainchip AKD1500 PCIe/SPI Edge AI co-processor to power battery-operated wearables and IoT devices
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#AMD #ROCm 7.0 Officially Released With Many Significant Improvements
Key highlights of #ROCm7.0 include:
- AMD Instinct #MI350X and Instinct #MI355X officially supported
- #Ubuntu 24.04.3 LTS and #RockyLinux 9 with Linux 5.14 officially supported
- ROCm 7.0 supports #KVM Passthrough for MI350X and MI355X GPUs
- ROCm 7.0 supports #PyTorch 2.7, #TensorFlow 2.19.1
- Official support for Llama.cpp.
- AMD #GPU kernel driver code is now distributed separately from ROCm stack.
https://www.phoronix.com/news/AMD-ROCm-7.0-Released -
Ведущий разработчик ChatGPT и его новый проект — Безопасный Сверхинтеллект
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.
https://habr.com/ru/companies/ruvds/articles/892646/
#Илья_Суцкевер #Ilya_Sutskever #OpenAI #10x_engineer #AlexNet #Safe_Superintelligence #ImageNet #неокогнитрон #GPU #GPGPU #CUDA #компьютерное_зрение #LeNet #Nvidia_GTX 580 #DNNResearch #Google_Brain #Алекс_Крижевски #Джеффри_Хинтон #Seq2seq #TensorFlow #AlphaGo #Томаш_Миколов #Word2vec #fewshot_learning #машина_Больцмана #сверхинтеллект #GPT #ChatGPT #ruvds_статьи
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Конвейер машинного обучения для классификации рукописных цифр MNIST с использованием TensorFlow Extended (TFX)
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 .
https://habr.com/ru/articles/898140/
#python #tensorflow #machine_learning #конвейеры #tfx #tensorflowmodelserver #tensorboard
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Первая ИИ-модель для обучения на тексте
Привет, будущие разработчики! Сегодня я расскажу вам, как создать свою первую модель искусственного интеллекта. Это материал совсем для начинающих, так что не переживайте — никаких сложных терминов и запутанных выражений. Всё, что понадобится, — ваши идеи и немного кода. Будем писать на Python и использовать TensorFlow — мощную библиотеку от Google для машинного обучения.
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Продолжение исследования RNN
С прошлой статьи я внёс несколько изменений: 1. Планировщик был сломан и не изменял скорость. Починил. 2. Остаточное соединение через умножение. 3. WindowedDense для выходной проекции. 4. Добавил clipnorm 1, cutoff_rate 0.4 Как обычно это всё добавляет стабильности и 1% точности. WindowedDense по неизвестной мне причине добавляет SMR стабильность.
https://habr.com/ru/articles/851182/
#rnn #lstm #gru #slr #smr #msmr #tensorflow #python #transformer #исследование
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Dive into #NeuralNetworks with #TensorFlow! Learn how to recognize handwritten digits using the Digits dataset. Perfect for #MachineLearning enthusiasts and beginners alike. Explore #ImageRecognition techniques and boost your #AI skills!
https://teguhteja.id/neural-networks-tensorflow-mastering-digits-dataset-recognition/
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Last week, we went over some basics of Artificial Intelligence (AI) using Ollama, Llama3, and some custom code. Artificial intelligence (AI) encompasses a broad range of technologies designed to enable machines to perform tasks that typically require human intelligence. These tasks include understanding spoken or written language, recognizing visual patterns, making decisions, and providing recommendations. Machine learning (ML) is a specialized subset of AI that focuses on developing systems that improve their performance over time without being explicitly programmed. Instead, ML algorithms analyze and learn from large datasets to identify patterns and make decisions based on these insights. This learning process allows ML models to make increasingly accurate predictions or decisions as they are exposed to more data.
A few months ago, I added Liner to the resource page of my website. It allows you to easily train an ML model so that you can do image, text, audio, or video classification, object detection, image segmentation, or pose classification. I created “Is this Joe or Not Joe?” using that tool. TensorFlow.js is running client-side with a model that is trained on a half dozen examples of photos that are Joe and a half dozen examples of photos that are not Joe. You can supply a photo and get a prediction if Joe is in the image or not. You can always retrain the existing model with more examples. That is an example of machine learning.
So, you can think of ML as a subset of AI and Deep Learning (DL) as a subset of ML.
Have any questions, comments, etc? Please feel free to drop a comment, below.
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Last week, we went over some basics of Artificial Intelligence (AI) using Ollama, Llama3, and some custom code. Artificial intelligence (AI) encompasses a broad range of technologies designed to enable machines to perform tasks that typically require human intelligence. These tasks include understanding spoken or written language, recognizing visual patterns, making decisions, and providing recommendations. Machine learning (ML) is a specialized subset of AI that focuses on developing systems that improve their performance over time without being explicitly programmed. Instead, ML algorithms analyze and learn from large datasets to identify patterns and make decisions based on these insights. This learning process allows ML models to make increasingly accurate predictions or decisions as they are exposed to more data.
A few months ago, I added Liner to the resource page of my website. It allows you to easily train an ML model so that you can do image, text, audio, or video classification, object detection, image segmentation, or pose classification. I created “Is this Joe or Not Joe?” using that tool. TensorFlow.js is running client-side with a model that is trained on a half dozen examples of photos that are Joe and a half dozen examples of photos that are not Joe. You can supply a photo and get a prediction if Joe is in the image or not. You can always retrain the existing model with more examples. That is an example of machine learning.
So, you can think of ML as a subset of AI and Deep Learning (DL) as a subset of ML.
Have any questions, comments, etc? Please feel free to drop a comment, below.
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2024 Home Sweet Home Automation: [HEX]POD – Climate Tracker and Digital Nose https://hackaday.com/2024/03/27/2024-home-sweet-home-automation-hexpod-climate-tracker-and-digital-nose/ #2024HomeSweetHomeAutomation #sensorfusion #tensorflow #3dprinted #contests #hardware #hexagon #BME688 #ESP32 #SCD41 #SGP41
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2024 Home Sweet Home Automation: [HEX]POD – Climate Tracker and Digital Nose - [eBender] was travelling India with friends, when one got sick. Unable to find a t... - https://hackaday.com/2024/03/27/2024-home-sweet-home-automation-hexpod-climate-tracker-and-digital-nose/ #2024homesweethomeautomation #sensorfusion #tensorflow #3dprinted #contests #hardware #hexagon #bme688 #esp32 #scd41 #sgp41
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My latest. This was a fun case study to write! #USPTO #DevSecOps #MainframeModernization #AIapps #TensorFlow #ChatGPT https://www.techtarget.com/searchitoperations/feature/Mainframe-modernization-to-AI-apps-USPTO-reinvents-itself
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Good morning folx of #Fediverse :fediverse: ! I interrupt swearing at #CUDA and #Torch to bring you today's #ConnectionList #Introduction #FollowFriday, where I help to more richly connect the Fediverse.
@terrytangyuan is a #MachineLearning #Kubernetes #OpenSource #MLOps engineer who is co-chair of #KubeFlow and maintains #TensorFlow (thank you!).
@yarnspinner is a #dialogue #dialog tool for #GamesDev, brought to you by the team @thesecretlab
@Cerchie is Lucia who is a #DevRel #DeveloperAdvocate at #Confluent, based in the 🇺🇸 👋
@ocramz is Marco and he is into #MachineLearning #ML #NLP #λ #lambda and #NLProc
@lira is into #poetry, #ComputerScience and #Philosophy
@frankjhopwood is a #PhD candidate #researcher #academic at #Groningen working on #speech technology #SpeechSynthesis #TTS for #Frisian. Fun Frisian fact: did you know that "keks" in Frisian means "cookies"?! Cakes and cookies! (Sorry I've always found that very amusing! 🍰 🍪 )
@blairpalese is Director of #Philanthropy at #EthInvest and Media Director and Editor at Climate and Capital Media. She's into #GreenFinance #ClimateRisk #Environment 🌱
Don't forget to share your own #ConnectionList so we can connect more widely ❤️