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  • Pytorch

PyTorch 课程

PyTorch 课程可以帮助您学习神经网络设计、模型训练和深度学习技术。您可以掌握数据预处理、超参数调优以及实现卷积和递归网络的技能。许多课程介绍了用于可视化的 TensorBoard 和用于交互式编码的 Jupyter Notebook 等工具,展示了这些技能如何应用于涉及图像识别、自然语言处理和人工智能 (AI) 其他领域的项目中。


PyTorch 热门课程和认证


  • 状态:新
    新
    状态:免费试用
    免费试用
    C

    Coursera

    Optimizing Models for Production

    您将获得的技能: Model Optimization, Token Optimization, Model Deployment, Generative AI, Performance Tuning, Model Evaluation, Performance Testing, Cross Platform Development, PyTorch (Machine Learning Library), Memory Management, Development Environment, Hardware Architecture, Scalability

    中级 · 课程 · 1-4 周

  • P

    Packt

    YOLO-NAS + v8 Full-Stack Computer Vision Course

    您将获得的技能: Computer Vision, Mobile Development, Model Training, Mobile Development Tools, Fine-tuning, Model Deployment, Model Optimization, PyTorch (Machine Learning Library), Flask (Web Framework), Tensorflow, Application Deployment, AI Integrations, Cloud Deployment, Data Preprocessing, Development Environment, User Interface (UI) Design

    中级 · 课程 · 1-3 个月

  • 状态:新
    新
    状态:免费试用
    免费试用
    P

    Packt

    Deep Learning, NLP, and AI Applications

    您将获得的技能: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Transfer Learning, Natural Language Processing, Model Optimization, Deep Learning, PyTorch (Machine Learning Library), Large Language Modeling, Fine-tuning, Keras (Neural Network Library), Artificial Neural Networks, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Tensorflow, Artificial Intelligence, Machine Learning Methods, Computer Vision, Model Training

    高级设置 · 课程 · 1-3 个月

  • 状态:新
    新
    状态:免费试用
    免费试用
    M

    Microsoft

    Core generative models and techniques

    您将获得的技能: Generative AI, Generative Model Architectures, MLOps (Machine Learning Operations), Generative Adversarial Networks (GANs), Model Deployment, Model Evaluation, Microsoft Azure, Model Training, PyTorch (Machine Learning Library), Deep Learning, Time Series Analysis and Forecasting, Tensorflow, Image Analysis, Forecasting, Prototyping

    中级 · 课程 · 1-4 周

  • 状态:新
    新
    状态:免费试用
    免费试用
    C

    Coursera

    AI Model Development & Deployment

    您将获得的技能: Fine-tuning, Model Deployment, MLOps (Machine Learning Operations), AWS SageMaker, Software Documentation, Data Pipelines, AI Integrations, Tensorflow, Solution Architecture, Model Evaluation, Apache Airflow, Model Optimization, Systems Design, Transfer Learning, Unit Testing, PyTorch (Machine Learning Library), API Design, Cloud Computing, Network Architecture, Deep Learning

    中级 · 专项课程 · 1-3 个月

  • 状态:新
    新
    状态:免费试用
    免费试用
    C

    Coursera

    Design and Build Custom Neural Networks

    您将获得的技能: Network Architecture, Model Optimization, Artificial Neural Networks, Model Training, Performance Testing, Deep Learning, Vision Transformer (ViT)

    中级 · 课程 · 1-4 周

  • 状态:新
    新
    状态:免费试用
    免费试用
    C

    Coursera

    Secure AI Code & Libraries with Static Analysis

    您将获得的技能: AI Security, Application Security, Secure Coding, DevSecOps, Security Testing, Threat Modeling, Vulnerability Scanning, Vulnerability Assessments, AI Personalization, Continuous Integration, Open Source Technology, CI/CD, PyTorch (Machine Learning Library), MLOps (Machine Learning Operations), Dependency Analysis, Analysis, Program Implementation, Supply Chain

    中级 · 课程 · 1-4 周

  • 状态:预览
    预览
    N

    Northeastern University

    Statistical Learning for Engineering Part 1

    您将获得的技能: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Machine Learning Methods, Statistical Modeling, Model Optimization, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Machine Learning Software, Statistical Programming, Model Training, Statistical Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning

    中级 · 课程 · 1-3 个月

  • 状态:新
    新
    状态:免费试用
    免费试用
    P

    Packt

    Building and Fine-Tuning LLM Applications

    您将获得的技能: Retrieval-Augmented Generation, AI Workflows, Fine-tuning, Model Deployment, Applied Machine Learning, Application Deployment, API Testing, Model Optimization

    高级设置 · 课程 · 1-3 个月

  • 状态:免费试用
    免费试用
    P

    Pearson

    Learning Deep Learning: Unit 2

    您将获得的技能: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Tensorflow, Transfer Learning, Natural Language Processing, Embeddings, Image Analysis, Deep Learning, Computer Vision, Artificial Neural Networks, Model Training, Time Series Analysis and Forecasting, Generative Model Architectures, Network Architecture

    中级 · 课程 · 1-4 周

  • 状态:新
    新
    状态:免费试用
    免费试用
    P

    Packt

    Foundations of Model Optimization and Deep Learning

    您将获得的技能: Convolutional Neural Networks, Model Optimization, Model Evaluation, Keras (Neural Network Library), Image Analysis, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Computer Vision, Model Training, Dimensionality Reduction, PyTorch (Machine Learning Library), Tensorflow, Machine Learning Methods, Performance Tuning, Artificial Intelligence, Bayesian Statistics

    中级 · 课程 · 1-4 周

  • 状态:新
    新
    P

    Packt

    Train Large Language Models Faster - Parallelism Deep Dive

    您将获得的技能: Model Training

    中级 · 课程 · 3-6 个月

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总之,以下是 10 最受欢迎的 pytorch 课程

  • Optimizing Models for Production: Coursera
  • YOLO-NAS + v8 Full-Stack Computer Vision Course: Packt
  • Deep Learning, NLP, and AI Applications: Packt
  • Core generative models and techniques: Microsoft
  • AI Model Development & Deployment: Coursera
  • Design and Build Custom Neural Networks: Coursera
  • Secure AI Code & Libraries with Static Analysis: Coursera
  • Statistical Learning for Engineering Part 1: Northeastern University
  • Building and Fine-Tuning LLM Applications: Packt
  • Learning Deep Learning: Unit 2: Pearson

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