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    Results for "pytorch (machine learning library)"

    • P

      Packt

      Machine Learning – Modern Computer Vision & Generative AI

      Skills you'll gain: Test Driven Development (TDD), Image Analysis, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Machine Learning, Python Programming, Development Environment, Jupyter, NumPy, Software Installation

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Learning TensorFlow: the Hello World of Machine Learning

      Skills you'll gain: Tensorflow, Google Cloud Platform, Scripting, Artificial Neural Networks, Machine Learning, Deep Learning, Cloud Computing, Development Environment

      4
      Rating, 4 out of 5 stars
      ·
      20 reviews

      Beginner · Project · Less Than 2 Hours

    • P

      Packt

      Harnessing Open Source LLMs and ChatGPT with Minimal Code

      Skills you'll gain: ChatGPT, LLM Application, OpenAI, Tool Calling, Large Language Modeling, Prompt Engineering, Application Deployment, Application Programming Interface (API), Python Programming, Software Installation, Open Source Technology, Development Environment, Real Time Data, Data Science

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Python Packages for Data Science

      Skills you'll gain: Matplotlib, Seaborn, Plot (Graphics), Pandas (Python Package), NumPy, Data Visualization Software, Data Visualization, Data Manipulation, Data Science, Histogram, Package and Software Management, Data Import/Export, Python Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      74 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Packt

      Fundamentals of AI, Machine Learning, and Python Programming

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), NumPy, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Development Environment, Pandas (Python Package), Deep Learning, Classification And Regression Tree (CART), Python Programming, Artificial Neural Networks, Data Manipulation, Programming Principles, Tensorflow, Regression Analysis, Machine Learning, Computer Programming, Integrated Development Environments

      Beginner · Course · 3 - 6 Months

    • C

      Coursera Project Network

      Deep Learning with PyTorch : Siamese Network

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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      48 reviews

      Advanced · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Deep Learning with PyTorch : Object Localization

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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      47 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      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
      ·
      58 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      D

      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
      ·
      546 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Probabilistic Deep Learning with TensorFlow 2

      Skills you'll gain: Tensorflow, Generative Model Architectures, Deep Learning, Image Analysis, Bayesian Statistics, Artificial Neural Networks, Machine Learning, Unsupervised Learning, Probability & Statistics, Dimensionality Reduction

      4.7
      Rating, 4.7 out of 5 stars
      ·
      109 reviews

      Advanced · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Machine Learning Pipelines with Azure ML Studio

      Skills you'll gain: Applied Machine Learning, Classification And Regression Tree (CART), Predictive Modeling, Microsoft Azure, No-Code Development, Machine Learning, Feature Engineering, Data Pipelines, Data Science, Data Analysis, Data Processing, Application Deployment

      4.5
      Rating, 4.5 out of 5 stars
      ·
      813 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Foundations of ML & Python for Data Science

      Skills you'll gain: Data Manipulation, Python Programming, Probability & Statistics, Pandas (Python Package), Data Science, Statistical Analysis, NumPy, Machine Learning, Statistical Hypothesis Testing, Supervised Learning, Probability Distribution

      Beginner · Course · 1 - 4 Weeks

    1…678…498

    In summary, here are 10 of our most popular pytorch (machine learning library) courses

    • Machine Learning – Modern Computer Vision & Generative AI: Packt
    • Learning TensorFlow: the Hello World of Machine Learning: Google Cloud
    • Harnessing Open Source LLMs and ChatGPT with Minimal Code: Packt
    • Python Packages for Data Science: University of Colorado Boulder
    • Fundamentals of AI, Machine Learning, and Python Programming: Packt
    • Deep Learning with PyTorch : Siamese Network: Coursera Project Network
    • Deep Learning with PyTorch : Object Localization: Coursera Project Network
    • Facial Expression Recognition with PyTorch : Coursera Project Network
    • Apply Generative Adversarial Networks (GANs): DeepLearning.AI
    • Probabilistic Deep Learning with TensorFlow 2: Imperial College London

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