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  • Pytorch머신러닝라이브러리

Results for "pytorch(머신 러닝 라이브러리)"


  • Status: Preview
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    D

    DeepLearning.AI

    Последовательные модели

    Skills you'll gain: Deep Learning, Natural Language Processing, Tensorflow, PyTorch (Machine Learning Library), Generative Model Architectures, Applied Machine Learning, Artificial Neural Networks

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Google Cloud

    ML Pipelines on Google Cloud - 한국어

    Skills you'll gain: CI/CD, Apache Airflow, Data Pipelines, MLOps (Machine Learning Operations), Google Cloud Platform, Tensorflow, Kubernetes, Metadata Management, Machine Learning Methods, Containerization, Data Processing, Data Validation

    Advanced · Course · 1 - 3 Months

  • Status: Preview
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    A

    Alberta Machine Intelligence Institute

    실용 머신 러닝 소개

    Skills you'll gain: Data Ethics, Machine Learning, Applied Machine Learning, Data Collection, Business Process, Data Modeling, Business Requirements, Supervised Learning, Machine Learning Algorithms, Data Quality, Unsupervised Learning, Performance Metric

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Deep Learning with PyTorch : Image Segmentation

    Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Computer Vision, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    223 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
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    Duke University

    DevOps, DataOps, MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Containerization, Tensorflow, Web Frameworks, Rust (Programming Language), Microsoft Copilot, DevOps, Cloud Solutions, CI/CD, Machine Learning, Serverless Computing, Docker (Software), GitHub, Command-Line Interface, Big Data

    4.2
    Rating, 4.2 out of 5 stars
    ·
    205 reviews

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Deep Learning with PyTorch : Generative Adversarial Network

    Skills you'll gain: PyTorch (Machine Learning Library), Generative Model Architectures, Deep Learning, Image Analysis, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
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    99 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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    I

    Imperial College London

    TensorFlow 2 시작하기

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Deep Learning, Data Validation, Predictive Modeling, Supervised Learning, Applied Machine Learning, Artificial Neural Networks, Computer Vision, Jupyter

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    N

    Northwestern University

    현대 로봇공학, 강좌 6: 캡스톤 프로젝트, 모바일 매니퓰레이션

    Skills you'll gain: Control Systems, Robotic Process Automation, Simulations, Record Keeping, Matlab, Computer Programming, Linear Algebra

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    S

    SAS

    머신 러닝 자세히 알아보기: 기술적 팁, 요령, 그리고 함정

    Skills you'll gain: Machine Learning, Data Ethics, Responsible AI, Technical Communication, Predictive Analytics, Supervised Learning, Artificial Intelligence, Data Analysis, Decision Tree Learning, Regression Analysis, Statistical Analysis, Artificial Neural Networks

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Facial Expression Recognition with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Image Analysis, Computer Vision, Artificial Neural Networks, Feature Engineering, Data Validation

    3.9
    Rating, 3.9 out of 5 stars
    ·
    60 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Deep Learning for Healthcare

    Skills you'll gain: Deep Learning, Health Informatics, Image Analysis, Generative Model Architectures, Machine Learning, Applied Machine Learning, Health Care, Artificial Neural Networks, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Graph Theory, Computer Vision, Tensorflow, PyTorch (Machine Learning Library), Predictive Modeling, Medical Science and Research, Unsupervised Learning, Program Development, Big Data

    3.3
    Rating, 3.3 out of 5 stars
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    49 reviews

    Advanced · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    DeepLearning.AI

    Apply Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Generative Model Architectures, Image Analysis, Responsible AI, Data Ethics, Computer Vision, Deep Learning, Unsupervised Learning, Information Privacy, Data Synthesis

    4.8
    Rating, 4.8 out of 5 stars
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    546 reviews

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular pytorch(머신 러닝 라이브러리) courses

  • Последовательные модели: DeepLearning.AI
  • ML Pipelines on Google Cloud - 한국어: Google Cloud
  • 실용 머신 러닝 소개: Alberta Machine Intelligence Institute
  • Deep Learning with PyTorch : Image Segmentation : Coursera
  • DevOps, DataOps, MLOps: Duke University
  • Deep Learning with PyTorch : Generative Adversarial Network: Coursera
  • TensorFlow 2 시작하기: Imperial College London
  • 현대 로봇공학, 강좌 6: 캡스톤 프로젝트, 모바일 매니퓰레이션: Northwestern University
  • 머신 러닝 자세히 알아보기: 기술적 팁, 요령, 그리고 함정: SAS
  • Facial Expression Recognition with PyTorch : Coursera

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