筛选依据
主题必需的
语言必需的
在整个课程（说明和评估）中使用的语言。
了解产品必需的
级别必需的
课程长度必需的
技能必需的
字幕必需的
教师必需的
探索 PyTorch 课程目录
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：免费试用您将获得的技能: 预测建模, 数据操作, 人工神经网络, 回归分析, 机器学习, PyTorch（机器学习库）, 深度学习, 概率与统计, 张力流
状态：免费试用您将获得的技能: PyTorch (Machine Learning Library), Natural Language Processing, Deep Learning, Generative AI, Artificial Neural Networks, Computer Vision, Machine Learning, Machine Learning Methods, Supervised Learning, Artificial Intelligence, Dimensionality Reduction, Text Mining, Network Model, Unsupervised Learning, Python Programming, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Google Cloud Platform, Data Processing, Software Installation
状态：新状态：预览您将获得的技能: Reinforcement Learning, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Generative AI, Pandas (Python Package), Scikit Learn (Machine Learning Library), Python Programming, Machine Learning, Artificial Neural Networks, Data Processing, Natural Language Processing, Feature Engineering, Predictive Modeling, Supervised Learning, Unsupervised Learning, Data Transformation, NumPy
状态：免费试用您将获得的技能: 网络架构, 计算机视觉, 监督学习, 人工神经网络, 深度学习, 机器学习, PyTorch（机器学习库）
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, Artificial Intelligence, Machine Learning, Regression Analysis, Network Architecture, Network Model, Predictive Modeling, Natural Language Processing, Probability & Statistics
是什么让您今天来到 Coursera？
状态：免费试用您将获得的技能: 计算机编程, JSON, 面向对象编程（OOP）, 应用编程接口 (API), Python 程序设计, 数据分析, 数据操作, 数据结构, 数据导入/导出, 编程原则, 自动化, 还原式 API, 脚本, Jupyter, 数据处理, Pandas（Python 软件包）, NumPy, 网页抓取
状态：免费试用您将获得的技能: PyTorch (Machine Learning Library), Deep Learning, Machine Learning, Supervised Learning, Artificial Neural Networks, Artificial Intelligence, Python Programming, Regression Analysis, Software Installation, System Configuration, Development Environment, Performance Tuning
Coursera Project Network
您将获得的技能: PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Computer Vision, Python Programming
状态：免费试用IBM
您将获得的技能: Python 程序设计, Prompt Engineering, 数据科学, Machine Learning 方法, 无监督学习, PyTorch（机器学习库）, 人工神经网络, 张力流, 机器学习, 生成式 AI 代理, 监督学习, 强化学习, 生成式人工智能, Keras（神经网络库）, 功能工程, LLM 申请, 深度学习, 应用机器学习, 大型语言模型, 自然语言处理
状态：免费试用多位教师
您将获得的技能: 人工智能, 监督学习, Python 程序设计, 无监督学习, 人工智能和机器学习（AI/ML）, 决策树学习, 机器学习, 深度学习, 分类与回归树 (CART), 预测建模, 随机森林算法, 强化学习, 应用机器学习, 负责任的人工智能, 数据伦理, Jupyter, NumPy, 张力流, Scikit-learn （机器学习库）, 功能工程
状态：免费试用您将获得的技能: 人工智能和机器学习（AI/ML）, AI 产品战略, 机器学习, ChatGPT, 生成式人工智能, 深度学习
总之，以下是 10 最受欢迎的 pytorch 课程
- Machine Learning with Scikit-learn, PyTorch & Hugging Face: Coursera
- 神经网络和 PyTorch 简介: IBM
- PyTorch Ultimate 2024 - From Basics to Cutting-Edge: Packt
- Machine Learning with PyTorch and Scikit-Learn: 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
- Foundations and Core Concepts of PyTorch: Packt
- Deep Learning with PyTorch : Image Segmentation : Coursera Project Network
- IBM 人工智能工程: IBM
