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    • Pytorch

    PyTorch Courses Online

    Master PyTorch for deep learning. Learn to build and train neural networks using PyTorch for various AI applications.

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    Explore the PyTorch Course Catalog

    • Status: Free Trial
      Free Trial
      P

      Packt

      Introduction to RNN and DNN

      Skills you'll gain: PyTorch (Machine Learning Library), Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Machine Learning, Predictive Modeling, Natural Language Processing, Python Programming, Network Architecture

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      MathWorks

      Advanced Deep Learning Techniques for Computer Vision

      Skills you'll gain: Anomaly Detection, Image Analysis, Computer Vision, Matlab, Deep Learning, Applied Machine Learning, Application Deployment, PyTorch (Machine Learning Library), Data Synthesis, Medical Imaging

      4.9
      Rating, 4.9 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Introduction to Convolutions with TensorFlow

      Skills you'll gain: Tensorflow, Image Analysis, Computer Vision, NumPy, Data Processing, Scientific Visualization, Deep Learning

      Intermediate · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      How Google does Machine Learning em Português Brasileiro

      Skills you'll gain: Google Cloud Platform, Data Strategy, MLOps (Machine Learning Operations), Tensorflow, Machine Learning, Applied Machine Learning, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Data Processing, Automation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      74 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      Università di Napoli Federico II

      Data Science con Python e R

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Object Oriented Programming (OOP), PyTorch (Machine Learning Library), R Programming, NumPy, Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Python Programming, Deep Learning, Computer Programming, Scripting Languages, Computer Vision, Keras (Neural Network Library), Scripting, Machine Learning, Exploratory Data Analysis, Programming Principles

      4.3
      Rating, 4.3 out of 5 stars
      ·
      51 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      E

      Edureka

      Practical Deep Learning with Python

      Skills you'll gain: Deep Learning, Applied Machine Learning, Image Analysis, Computer Vision, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Natural Language Processing, Supervised Learning, Network Architecture, Performance Tuning

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Mastering Neural Networks and Model Regularization

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

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      Advanced CNNs, Transfer Learning, and Recurrent Networks

      Skills you'll gain: Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Image Analysis, Applied Machine Learning, Tensorflow, Computer Vision, Natural Language Processing, Medical Imaging, Performance Tuning

      Advanced · Course · 1 - 3 Months

    • P

      Packt

      Harnessing Open Source LLMs and ChatGPT with Minimal Code

      Skills you'll gain: ChatGPT, OpenAI, Large Language Modeling, Prompt Engineering, Application Deployment, Application Programming Interface (API), Generative AI, Python Programming, Software Installation, Open Source Technology, Live Streaming, Development Environment

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      E

      Edureka

      Data Streaming and NLP with PySpark

      Skills you'll gain: PySpark, Data Pipelines, Apache Spark, Data Processing, Real Time Data, Data Visualization, Natural Language Processing, Distributed Computing, Text Mining, Deep Learning, Scalability, Performance Tuning

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      ML Pipelines on Google Cloud - 한국어

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

      Advanced · Course · 1 - 3 Months

    • G

      Google Cloud

      Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Anthos Service Mesh

      Skills you'll gain: Cloud Computing, Istio, Tensorflow, Google Cloud Platform, MLOps (Machine Learning Operations), Kubernetes, Application Deployment, Continuous Deployment, Load Balancing

      Intermediate · Project · Less Than 2 Hours

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    In summary, here are 10 of our most popular pytorch courses

    • Introduction to RNN and DNN: Packt
    • Advanced Deep Learning Techniques for Computer Vision: MathWorks
    • Introduction to Convolutions with TensorFlow: Google Cloud
    • How Google does Machine Learning em Português Brasileiro: Google Cloud
    • Data Science con Python e R: Università di Napoli Federico II
    • Practical Deep Learning with Python: Edureka
    • Mastering Neural Networks and Model Regularization: Johns Hopkins University
    • Advanced CNNs, Transfer Learning, and Recurrent Networks: Packt
    • Harnessing Open Source LLMs and ChatGPT with Minimal Code: Packt
    • Data Streaming and NLP with PySpark: Edureka

    Frequently Asked Questions about Pytorch

    PyTorch is a deep learning framework that doubles as a fast, flexible deep learning research platform. This Python package is based on Torch, an open-source Lua-based machine learning package. It delivers tensor computation similar to NumPy, but with more powerful GPU acceleration. It also speeds up the process from prototyping to production. It was first introduced in 2017 by the Facebook Artificial Intelligence Research team, and it's become popular among amateurs and professionals alike, largely because of its intuitive approach and easy-to-understand modular process that makes it easier to build and experiment with deep learning architectures.‎

    If you're passionate about deep learning and want simple-to-understand code, PyTorch is a good framework to learn. It works with Python instead of creating friction. Additionally, it's simple to get started using with a long list of optimizers and easy techniques for loading data. If you're interested in creating applications like natural language processing, computer vision, or anything in the AI field, PyTorch is a strong contender. Because it offers a simple interface and powerful API, plus the ability to implement it on Windows and Linux, PyTorch provides higher productivity for developers.‎

    If you're an aspiring machine learning engineer, data scientist, computer engineer, data analyst, or computational chemist, gaining a solid foundation in PyTorch puts you on the path to your chosen career. Researchers rely heavily on PyTorch, using it to create dynamic graphs, and it has steadily become the chosen framework featured at machine learning conferences. Learning about PyTorch and becoming proficient in using it is useful for a variety of career options. It's also essential for students and anyone dabbling in machine learning on their own.‎

    Online courses provide a mix of classroom learning and hands-on experience to give you a firm grasp of the fundamentals like linear regression, artificial neural networks, and data science, while also honing your skills. Taking online courses on Coursera exposes you to a mix of PyTorch subjects ranging from beginner-level courses and Guided Projects to Professional Certificate programs provided by industry leaders like IBM. By opting for online PyTorch classes, you have greater flexibility to go at your own pace, making it easier to fit your courses around your busy life.‎

    Online PyTorch courses offer a convenient and flexible way to enhance your knowledge or learn new PyTorch skills. Choose from a wide range of PyTorch courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in PyTorch, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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