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.
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79courses

Results for "pytorch (machine learning library)"

  • Status: New
    Status: Free Trial

    Skills you'll gain: Prompt Engineering, PyTorch (Machine Learning Library), Natural Language Processing, MLOps (Machine Learning Operations), Large Language Modeling, Computer Vision, Image Analysis, Generative AI, Generative Model Architectures, Application Deployment, Artificial Neural Networks, Text Mining, Deep Learning, Cloud Hosting, Semantic Web, Restful API

  • Status: Free Trial

    Skills you'll gain: Prompt Engineering, Exploratory Data Analysis, Data Wrangling, LangChain, Prompt Patterns, Large Language Modeling, Generative AI, Unsupervised Learning, PyTorch (Machine Learning Library), Restful API, Supervised Learning, Keras (Neural Network Library), Data Transformation, Feature Engineering, Flask (Web Framework), Data Analysis, Data Cleansing, Responsible AI, LLM Application, Data Import/Export

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Computer Vision, Machine Learning Algorithms, Applied Machine Learning, Image Analysis, Dimensionality Reduction, Supervised Learning, Data Processing, Reinforcement Learning, Feature Engineering, Regression Analysis, Data Cleansing, Machine Learning, Data Mining, Scikit Learn (Machine Learning Library), Statistical Machine Learning, Deep Learning, Artificial Neural Networks, Decision Tree Learning

  • 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: 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: Free Trial

    Skills you'll gain: Natural Language Processing, Supervised Learning, Markov Model, Text Mining, Dimensionality Reduction, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Machine Learning Methods, Data Processing, Feature Engineering, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Algorithms, Keras (Neural Network Library), Unstructured Data, Probability & Statistics, Linear Algebra

  • Status: Free Trial

    Skills you'll gain: Large Language Modeling, Generative AI, Data Pipelines, PyTorch (Machine Learning Library), Natural Language Processing, Text Mining, Prompt Engineering, Artificial Intelligence, Deep Learning, Data Processing

  • Status: New
    Status: Preview

    Skills you'll gain: Large Language Modeling, Natural Language Processing, PyTorch (Machine Learning Library), Artificial Neural Networks, Machine Learning Methods, Deep Learning, Applied Machine Learning, Statistical Machine Learning, Algorithms

  • Status: Free Trial

    Skills you'll gain: Generative AI, Large Language Modeling, Prompt Engineering, PyTorch (Machine Learning Library), Performance Tuning, Natural Language Processing

  • Status: New
    Status: Free Trial

    Skills you'll gain: Natural Language Processing, Large Language Modeling, Data Ethics, Responsible AI, Text Mining, PyTorch (Machine Learning Library), Artificial Neural Networks, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Data Processing, Artificial Intelligence, Scikit Learn (Machine Learning Library), Time Series Analysis and Forecasting, Machine Learning, Data Analysis, Unstructured Data, Data Cleansing, Applied Machine Learning, Unified Modeling Language

  • Status: Free Trial

    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

  • 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

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

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    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.

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