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: 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

    Università di Napoli Federico II

    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), Machine Learning, Exploratory Data Analysis, Programming Principles, Data Management

  • Status: Free Trial

    Skills you'll gain: Natural Language Processing, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Text Mining, Machine Learning Methods

  • Skills you'll gain: PyTorch (Machine Learning Library), Generative Model Architectures, Deep Learning, Image Analysis, Python Programming

  • Status: New
    Status: Preview

    University of the Arts London

    Skills you'll gain: PyTorch (Machine Learning Library), Artificial Intelligence, Creativity, Artificial Intelligence and Machine Learning (AI/ML), Creative Thinking, Generative AI, Artificial Neural Networks, Responsible AI, Augmented Reality, Creative Problem-Solving, Creative Design, Data Ethics, Machine Learning, Deep Learning, Critical Thinking

  • Status: Free Trial

    Skills you'll gain: Data Management, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, MLOps (Machine Learning Operations), Application Deployment, Data Processing, Data Cleansing, Artificial Intelligence, Data Security, Application Frameworks, PyTorch (Machine Learning Library), Machine Learning, Tensorflow, Applied Machine Learning, Data Pipelines, Scalability

  • Status: Free Trial

    Skills you'll gain: Natural Language Processing, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Keras (Neural Network Library), Deep Learning, Tensorflow, Artificial Neural Networks

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

  • 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

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

  • 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

  • Status: Preview

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

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