计算机视觉课程
计算机视觉课程可以帮助您学习图像处理、Object Detection、面部识别和视频分析。您可以掌握 Feature Extraction、图像分类和深度学习技术方面的技能。许多课程都会介绍 OpenCV、TensorFlow 和 PyTorch 等工具，这些工具支持利用人工智能和 AI 实现算法和开发应用程序，用于 Visual Data Interpretation。
热门计算机视觉课程和认证
状态：免费试用Google
您将获得的技能: Scripting, Python Programming, Computer Programming, Computational Thinking, Data Structures, Integrated Development Environments, Debugging, Development Environment
状态：免费试用状态：人工智能技能IBM
您将获得的技能: SQL, 数据清理, 数据分析, 监督学习, 生成式人工智能, 交互式数据可视化, 数据导入/导出, Plotly, 无监督学习, 数据扫盲, 数据可视化软件, Jupyter, 功能工程, 数据可视化, 同行评审, 仪表板, 数据整理, 探索性数据分析, 专业网络, 数据转换
状态：免费试用您将获得的技能: Computer Vision, Image Analysis, Matlab, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Performance Tuning, Classification And Regression Tree (CART)
状态：免费试用Infosec
您将获得的技能: 文件管理, 网络安全, 用户账户, Network Protocol（网络协议, Data Validation, 系统配置, 诉讼支持, 文件系统, 系统软件, Network Security, 数据结构, 记录保存, Microsoft Windows, 通用网络, 数据安全, USB, 操作系统, 数据分析软件, 数据完整性, TCP/IP
状态：预览University of Colorado Boulder
您将获得的技能: 监督学习, 人工智能和机器学习（AI/ML）, 计算机视觉, 张力流, 性能调整, 应用机器学习, 机器学习, 人工神经网络, 深度学习, 图像分析
状态：新您将获得的技能: Computer Vision, Mobile Development, PyTorch (Machine Learning Library), Flask (Web Framework), Application Development, Tensorflow, Deep Learning, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Containerization, User Interface (UI), Performance Tuning
状态：免费试用您将获得的技能: Anomaly Detection, Image Analysis, Computer Vision, Matlab, Unsupervised Learning, Deep Learning, Application Deployment, PyTorch (Machine Learning Library), Data Synthesis, Medical Imaging
您将获得的技能: Computer Vision, Image Analysis, Google Cloud Platform, Deep Learning, Real Time Data, Python Programming, Applied Machine Learning, Development Environment, Machine Learning Algorithms, Data Processing, Performance Tuning, Data Collection, Software Installation
状态：免费试用您将获得的技能: Computer Vision, Applied Machine Learning
Google Cloud
您将获得的技能: Machine Learning 方法, 计算机视觉, 图像分析, 张力流, 机器学习, Google 云端平台, 开发环境, 深度学习, 人工神经网络
状态：新您将获得的技能: Computer Vision, Image Analysis, PyTorch (Machine Learning Library), Tensorflow, Artificial Intelligence, System Configuration, Deep Learning, Real Time Data, Performance Tuning, Software Installation, Application Deployment
状态：免费试用MathWorks
您将获得的技能: 计算机视觉, 可视化（计算机制图）, Data Validation, 监督学习, Matlab, 预测建模, 性能调整, 应用机器学习, 机器学习, 图像分析
与 computer vision 相关的搜索
总之，以下是 10 最受欢迎的 computer vision 课程
- Crash Course on Python: Google
- IBM 数据科学: IBM
- Introduction to Deep Learning for Computer Vision: MathWorks
- 计算机取证: Infosec
- 计算机视觉的深度学习应用: University of Colorado Boulder
- YOLO-NAS + v8 Full-Stack Computer Vision Course: Packt
- Advanced Deep Learning Techniques for Computer Vision: MathWorks
- Computer Vision: YOLO Custom Object Detection with Colab GPU: Packt
- AI Applications: Computer Vision and Speech Recognition: Edureka
- 使用 TensorFlow 的计算机视觉入门: Google Cloud
