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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Results for "pytorch (machine learning library)"

  • Status: New
    Status: Preview

    Skills you'll gain: Keras (Neural Network Library), Time Series Analysis and Forecasting, PyTorch (Machine Learning Library), Natural Language Processing, Tensorflow, Deep Learning, Artificial Neural Networks, Applied Machine Learning

  • Status: Preview

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Data Pipelines, Tensorflow, Continuous Deployment, Continuous Integration, Metadata Management, Application Deployment, PyTorch (Machine Learning Library), Containerization

  • Status: Preview

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

  • Status: Preview

    DeepLearning.AI

    Skills you'll gain: Natural Language Processing, Generative AI, Keras (Neural Network Library), Large Language Modeling, Tensorflow, Deep Learning, Artificial Neural Networks, PyTorch (Machine Learning Library), Responsible AI, Time Series Analysis and Forecasting

  • Status: New
    Status: Preview

    Skills you'll gain: Multimodal Prompts, Generative AI, Generative Model Architectures, Prompt Engineering, Image Analysis, Image Quality, Unsupervised Learning, PyTorch (Machine Learning Library), Machine Learning Methods, Dimensionality Reduction

  • Status: Preview

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

  • Status: Preview

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

  • Status: Preview

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

  • Status: Preview

    Skills you'll gain: Image Analysis, Generative AI, Deep Learning, Keras (Neural Network Library), Generative Model Architectures, Computer Vision, PyTorch (Machine Learning Library), Tensorflow

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