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.
29credentials
80courses

Results for "pytorch (machine learning library)"

  • Status: Free Trial

    Skills you'll gain: Generative AI, Generative Model Architectures, Artificial Neural Networks, Keras (Neural Network Library), Image Analysis, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Network Architecture, Performance Tuning, Matplotlib, Jupyter, NumPy

  • Status: New
    Status: Free Trial

    Skills you'll gain: Natural Language Processing, Deep Learning, Large Language Modeling, Text Mining, Semantic Web, Generative AI, PyTorch (Machine Learning Library), Artificial Neural Networks, Python Programming, Cryptography, Generative Model Architectures, Applied Machine Learning, Machine Learning Methods, Unsupervised Learning, Probability Distribution, Machine Learning Algorithms, Algorithms

  • Status: Preview

    Skills you'll gain: CI/CD, Apache Airflow, Data Pipelines, MLOps (Machine Learning Operations), Tensorflow, Continuous Deployment, Google Cloud Platform, Machine Learning Methods, Continuous Integration, Metadata Management, PyTorch (Machine Learning Library), Applied Machine Learning, Feature Engineering, Containerization, Scalability, Data Validation

  • 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: 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: 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: 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: 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: 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: 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: MLOps (Machine Learning Operations), CI/CD, Google Cloud Platform, Data Pipelines, Kubernetes, Tensorflow, Metadata Management, PyTorch (Machine Learning Library), Containerization

  • Status: New

    Skills you'll gain: Computer Vision, Image Analysis, PyTorch (Machine Learning Library), Tensorflow, Artificial Intelligence, System Configuration, Deep Learning, Real Time Data, Performance Tuning, Software Installation, Application Deployment