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: Small Data, Deep Learning, Applied Machine Learning, PyTorch (Machine Learning Library), Unsupervised Learning, Tensorflow, Machine Learning, Generative AI, Data Synthesis, Supervised Learning, Artificial Intelligence, Computer Vision

  • Status: Preview

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

  • Status: Free Trial

    Skills you'll gain: Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Responsible AI, Data Ethics, Deep Learning, Machine Learning, Image Quality, Image Analysis, Artificial Neural Networks, Performance Testing

  • Status: New
    Status: Preview

    Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification And Regression Tree (CART), Random Forest Algorithm, Generative Model Architectures

  • 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: New
    Status: Free Trial

    Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Large Language Modeling, Generative AI, Artificial Neural Networks, Deep Learning

  • Status: Free Trial

    Skills you'll gain: Machine Learning Algorithms, Computer Vision, Applied Machine Learning, Image Analysis, Civil Engineering, Artificial Intelligence, Electrical Substation, Machine Learning, Computer Engineering, Tensorflow, Engineering, Deep Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Electric Power Systems, Electrical Engineering, Oil and Gas, Mechanical Engineering, Keras (Neural Network Library), Predictive Modeling

  • Status: Free Trial

    Università di Napoli Federico II

    Skills you'll gain: PyTorch (Machine Learning Library), NumPy, Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Deep Learning, Computer Vision, Keras (Neural Network Library), Jupyter, Data Manipulation, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Python Programming, Data Science, Scikit Learn (Machine Learning Library)

  • Status: Free Trial

    Skills you'll gain: Responsible AI, Generative AI, Large Language Modeling, Artificial Intelligence, PyTorch (Machine Learning Library), MLOps (Machine Learning Operations), Tensorflow, Information Privacy, Machine Learning, A/B Testing, Deep Learning, Version Control, Performance Tuning, Scalability

  • Status: Free Trial

    Skills you'll gain: Large Language Modeling, Generative AI, PyTorch (Machine Learning Library), Natural Language Processing, Prompt Engineering, Deep Learning, MLOps (Machine Learning Operations), Application Deployment, Tensorflow, Machine Learning Methods, Continuous Monitoring, Data Cleansing, Machine Learning

  • Status: Preview

    DeepLearning.AI

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

  • Status: New
    Status: Free Trial

    Skills you'll gain: Generative Model Architectures, Generative AI, OpenAI, ChatGPT, Deep Learning, Real Time Data, Scalability, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Large Language Modeling, Prompt Engineering, PyTorch (Machine Learning Library), Responsible AI, Artificial Neural Networks, Image Analysis, Applied Machine Learning, Computer Vision, Machine Learning Methods, Unsupervised Learning, Natural Language Processing

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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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