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：新状态：免费试用状态：人工智能技能DeepLearning.AI
您将获得的技能: PyTorch (Machine Learning Library), Data Quality, Generative AI, Deep Learning, MLOps (Machine Learning Operations), Data Pipelines, Application Deployment, Artificial Neural Networks, Software Visualization, Computer Vision, Dimensionality Reduction, Natural Language Processing, Machine Learning
状态：新状态：免费试用DeepLearning.AI
您将获得的技能: PyTorch (Machine Learning Library), Generative AI, Deep Learning, MLOps (Machine Learning Operations), Application Deployment, Software Visualization, Artificial Neural Networks, Computer Vision, Dimensionality Reduction
状态：免费试用您将获得的技能: 概率与统计, 回归分析, 机器学习, 深度学习, 数据操作, PyTorch（机器学习库）, 统计建模, 张力流, 预测建模, 人工神经网络
状态：新状态：免费试用DeepLearning.AI
您将获得的技能: Data Quality, Data Pipelines, Machine Learning
状态：免费试用您将获得的技能: PyTorch (Machine Learning Library), Natural Language Processing, Deep Learning, Generative AI, Supervised Learning, Image Analysis, Artificial Neural Networks, Machine Learning Methods, Machine Learning, Computer Vision, Artificial Intelligence, Dimensionality Reduction, Text Mining, Network Model, Unsupervised Learning, Python Programming, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Time Series Analysis and Forecasting, Regression Analysis
状态：免费试用您将获得的技能: 机器学习, 深度学习, 网络架构, 计算机视觉, PyTorch（机器学习库）, 人工神经网络, 监督学习
是什么让您今天来到 Coursera？
状态：免费试用状态：人工智能技能您将获得的技能: PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Unsupervised Learning, Artificial Neural Networks, Machine Learning Methods, Generative AI, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Computer Vision, Statistical Modeling, Artificial Intelligence, Geospatial Information and Technology, Machine Learning, Regression Analysis, Data Pipelines, Network Architecture, Network Model
状态：免费试用您将获得的技能: JSON, 脚本, NumPy, 数据处理, 网页抓取, 数据导入/导出, Python 程序设计, 还原式 API, 编程原则, 数据操作, 应用编程接口 (API), Pandas（Python 软件包）, 计算机编程, 数据结构, 面向对象编程（OOP）, 数据分析, Jupyter, 自动化
状态：新状态：免费试用DeepLearning.AI
您将获得的技能: Artificial Neural Networks
状态：新状态：免费试用您将获得的技能: Generative AI, Supervised Learning, Generative Model Architectures, Unsupervised Learning, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Data Collection, Machine Learning Algorithms, OpenAI, Feature Engineering, Data Ethics, Dimensionality Reduction, MLOps (Machine Learning Operations), Machine Learning, Multimodal Prompts, Data Processing, Network Architecture
状态：免费试用IBM
您将获得的技能: 大型语言模型, 机器学习, Apache Spark, 无监督学习, 监督学习, 深度学习, Python 程序设计, 计算机视觉, Prompt Engineering, PySpark, 生成式人工智能, LLM 申请, 应用机器学习, Keras（神经网络库）, PyTorch（机器学习库）, 自然语言处理, 强化学习, 功能工程, 数据科学, Jupyter
您将获得的技能: PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Computer Vision, Python Programming
与 pytorch 相关的搜索
总之，以下是 10 最受欢迎的 pytorch 课程
- PyTorch for Deep Learning: DeepLearning.AI
- PyTorch: Advanced Architectures and Deployment: DeepLearning.AI
- 神经网络和 PyTorch 简介: IBM
- PyTorch: Fundamentals: DeepLearning.AI
- PyTorch Ultimate 2024 - From Basics to Cutting-Edge: Packt
- 使用 PyTorch 进行深度学习: IBM
- IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
- 用于数据科学、人工智能和开发的 Python: IBM
- PyTorch: Techniques and Ecosystem Tools: DeepLearning.AI
- Machine Learning with Scikit-learn, PyTorch & Hugging Face: Coursera
