PyTorch (Machine Learning Library)

PyTorch is an open-source machine learning library, designed for maximum flexibility and speed in the implementation of deep neural networks. Coursera's PyTorch catalogue teaches you about this powerful tool created by Facebook's artificial intelligence research group. You'll learn everything from the basics of PyTorch, tensor operations, auto gradients, to the designing and training of neural networks for machine learning and artificial intelligence. You'll also explore practical applications of PyTorch in image and language processing, reinforcement learning, and more. This skill is essential for AI researchers, data scientists and anyone interested in the field of machine learning.
28credentials
75courses

Related roles

Gain the knowledge and skills you need to advance.

  • This role has a $169,700 median salary ¹.

    description:

    A Machine Learning Engineer builds and optimizes algorithms that enable computers to learn from data, using large datasets and neural networks.

    This role has a $169,700 median salary ¹.

    Offered by

    IBM_logo
    DeepLearning.AI_logo
    Stanford University_logo

Most popular

Trending now

New releases

Filter by

Subject
Required

Language
Required

The language used throughout the course, in both instruction and assessments.

Learning Product
Required

Build job-relevant skills in under 2 hours with hands-on tutorials.
Learn from top instructors with graded assignments, videos, and discussion forums.
Learn a new tool or skill in an interactive, hands-on environment.
Get in-depth knowledge of a subject by completing a series of courses and projects.
Earn career credentials from industry leaders that demonstrate your expertise.

Level
Required

Duration
Required

Subtitles
Required

Educator
Required

Results for "pytorch (machine learning library)"

  • Skills you'll gain: PyTorch (Machine Learning Library), Computer Vision, NumPy, Matplotlib, Deep Learning, Pandas (Python Package), Image Analysis, Python Programming, Artificial Neural Networks, Data Manipulation

  • Status: Free Trial

    Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Generative AI, Deep Learning, Dimensionality Reduction, Text Mining, Network Model, Unsupervised Learning, Supervised Learning, Google Cloud Platform, Machine Learning, Computer Vision, Flask (Web Framework), Application Deployment

  • Status: Free Trial

    Duke University

    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

  • Status: New
    Status: Free Trial

    Skills you'll gain: Deep Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Large Language Modeling, Machine Learning, Python Programming, Algorithms, Network Architecture, Data Processing

  • Status: Free Trial

    DeepLearning.AI

    Skills you'll gain: Computer Vision, Deep Learning, Image Analysis, Natural Language Processing, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Generative AI, Supervised Learning, Large Language Modeling, Keras (Neural Network Library), Artificial Intelligence, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning, Debugging, Performance Tuning, Python Programming, Data-Driven Decision-Making, Feature Engineering

  • Status: New
    Status: Free Trial

    Skills you'll gain: PyTorch (Machine Learning Library), Tensorflow, Natural Language Processing, Image Analysis, Deep Learning, Computer Vision, Artificial Neural Networks, Machine Learning Methods, Time Series Analysis and Forecasting, Forecasting, Network Architecture

  • Status: New
    Status: Preview

    Skills you'll gain: Image Analysis, Keras (Neural Network Library), Computer Vision, Applied Machine Learning, Deep Learning, Artificial Neural Networks, Tensorflow, PyTorch (Machine Learning Library), Python Programming

  • Status: New
    Status: Free Trial

    Skills you'll gain: Generative AI, Large Language Modeling, Generative Model Architectures, Image Analysis, Computer Vision, PyTorch (Machine Learning Library), Natural Language Processing, Text Mining, Deep Learning, Artificial Neural Networks, Unsupervised Learning

  • Status: New
    Status: Preview

    Skills you'll gain: Generative AI, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Application Frameworks, Tensorflow, Applied Machine Learning, Performance Tuning, Hardware Architecture, Computer Hardware, Algorithms, Scalability

  • Status: Free Trial

    Skills you'll gain: PyTorch (Machine Learning Library), Artificial Neural Networks, Computer Vision, Deep Learning, Machine Learning Methods, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Exploratory Data Analysis, Development Environment

  • Status: New
    Status: Preview

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Unstructured Data, Probability & Statistics, Dimensionality Reduction, Algorithms

  • Status: New
    Status: Free Trial

    Skills you'll gain: Generative AI, Generative Model Architectures, Large Language Modeling, LLM Application, OpenAI, Multimodal Prompts, Responsible AI, Prompt Engineering, PyTorch (Machine Learning Library), Natural Language Processing, Image Analysis, Application Deployment

What brings you to Coursera today?

Leading partners

  • Packt
  • DeepLearning.AI
  • IBM
  • Pearson
  • Google Cloud
  • Simplilearn
  • Whizlabs
  • Duke University