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81 wyników (0,096 sekund)
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  1. txt 8.6KB
    Github
    https://duchesnay.github.io › learning

    https://duchesnay.github.io/pystatsml/_sources/deep_learning/dl_cnn-pretraining_pytorch.rst.txt

    Pretraining and Transfer Learning — Statistics and Machine Learning in Python 0.8 documentation Show Source
  2. txt 7.5KB
    Databricks
    https://docs.databricks.com › EN › Release Notes › Runtime

    https://docs.databricks.com/aws/en/assets/files/requirements-cpu-17.2-997c1e6ae8262e4e22499bb3b712116e.txt

    Databricks Runtime 17.2 for Machine Learning | Databricks on AWS requirements-cpu-17.2.txt
  3. txt 3KB
    Engcourses-Uofa
    https://engcourses-uofa.ca › machine

    https://engcourses-uofa.ca/wp-content/uploads/Yolo3.txt

    Engineering at Alberta Courses » Machine Learning: Identifying Objects Google Colab code
  4. txt 46.9KB
    Smartlogic
    https://smartlogic.io › s5e16-gamble

    https://smartlogic.io/podcast/elixir-wizards/transcripts/s5e16-gamble.txt

    Jenn Gamble on Data Science, Machine Learning, and Elixir English
  5. txt 48 bytes
    Temir
    https://temir.org › machine

    https://temir.org/teaching/machine-learning-ws22/materials/requirements.txt

    Machine Learning requirements.txt
  6. txt 0 bytes
    EDU
    https://multimedia.edu.pl ›

    https://multimedia.edu.pl/publications/Wideband-Spectrum-Sensing-Utilizing-Cumulative-Distribution-Function-and-Machine-Learning.txt

    Institute of Multimedia Telecommunications Citation
  7. txt 10.8MB
    Mlgu
    https://mlgu.ru › 1004

    https://mlgu.ru/llms-full.txt

    Прогнозирование трафика и конверсий сайта с помощью Catboost — > Machine Learning Guru
  8. txt 3.9KB
    VSE
    https://ner.vse.cz › JWS15

    https://ner.vse.cz/datasets/linkedhypernyms/JWS15/annotation_instructions_final.txt

    A Machine Learning Approach to Type Inference in Semantic Knowledge Bases annotation guidelines are here
  9. txt 9.6KB
    Rapids
    https://docs.rapids.ai › Cuml › Stable › Estimator_intro

    https://docs.rapids.ai/api/cuml/stable/_sources/estimator_intro.ipynb.txt

    Training and Evaluating Machine Learning Models — cuml 25.10.00 documentation Show Source
  10. txt 0 bytes
    Mbrenndoerfer
    https://mbrenndoerfer.com › machine

    https://mbrenndoerfer.com/llms.txt

    Machine Learning from Scratch LLMs
  11. txt 599 bytes
    Bartneck
    https://www.bartneck.de › Publication List

    https://www.bartneck.de/publications/2008/teachingMachineLearning/referenceFiles/bibTex.txt

    Publications - Christoph Bartneck, Ph.D. BibTex
  12. txt 2MB
    DJL
    https://d2l.djl.ai › Chapter_recurrent Modern

    https://d2l.djl.ai/_sources/chapter_recurrent-modern/machine-translation-and-dataset.rst.txt

    9.5. Machine Translation and the Dataset — Dive into Deep Learning 0.1.0 documentation code
  13. txt 8.7MB
    Elifesciences
    https://elifesciences.org › 99849

    https://cdn.elifesciences.org/articles/99849/elife-99849-fig1-data1-v1.txt

    A multi-gene predictive model for the radiation sensitivity of nasopharyngeal carcinoma based on machine learning https://cdn.elifesciences.org/articles/99849/elife-99849-fig1-data1-v1.txt
  14. txt 384 bytes
    Content-Select
    https://content-select.com › 623a1e02-2664-4984-88c0-2d09b0dd2d03

    https://content-select.com/portal/media/bibtex.txt?&medium_id=623a1e02-2664-4984-88c0-2d09b0dd2d03

    Content-Select: Westfälische Forschungen 2 - 1939 Ebook PDF Download .bibtex file
  15. txt 4KB
    Googlesource
    https://nest-open-source.googlesource.com › learning

    https://nest-open-source.googlesource.com/nest-learning-thermostat/5.6/linux-imx/ /refs/heads/master/Documentation/power/regulator/machine.txt?format=TEXT

    Documentation/power/regulator/machine.txt - nest-learning-thermostat/5.6/linux-imx - Git at Google txt
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