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MathWorks
您将获得的技能: Computer Vision, Model Evaluation, Image Analysis, Convolutional Neural Networks, Deep Learning, Matlab, Data Preprocessing, Data Visualization, Transfer Learning, Applied Machine Learning, Data Analysis
您将获得的技能: Model Evaluation, Keras (Neural Network Library), Tensorflow, Image Analysis, Artificial Neural Networks, Deep Learning, Computer Vision, Machine Learning, Classification Algorithms
您将获得的技能: Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Google Cloud Platform, Deep Learning, Real Time Data, Python Programming, Applied Machine Learning, Development Environment, Data Preprocessing, Model Evaluation, Performance Tuning, Data Collection, Software Installation
状态：免费试用Columbia University
您将获得的技能: 图像质量, 半导体, 数字信号处理, 计算机显示器, 摄影, 计算机视觉, 计算机图形学, 图像分析, 色彩理论
状态：免费试用University of Colorado Boulder
您将获得的技能: 心理学, 深度学习, 卷积神经网络, 计算思维, 人工神经网络, 人工智能和机器学习（AI/ML）, 计算机图形学, 计算机视觉, 图像分析
您将获得的技能: Computer Vision, Python Programming, Image Analysis, Real Time Data, Classification Algorithms, Development Environment, Deep Learning, Software Installation, Algorithms
状态：免费Princeton University
您将获得的技能: 计算机编程, Java, 计划发展, 调试, 计算思维, 面向对象编程（OOP）, 动画, 文件输入/输出, 计算机科学, 数据结构, 性能调整, Algorithm, 编程原则, Java 编程
状态：免费DeepLearning.AI
您将获得的技能: Prompt Engineering, Multimodal Prompts, Generative AI, Vision Transformer (ViT), Image Analysis, Computer Vision, AI Personalization, AI Workflows
状态：预览University of Pennsylvania
您将获得的技能: 计算机编程, Python 程序设计, 计算机硬件, 计划发展, 调试, 计算思维, 解决问题, Algorithm, 伪代码, 分析, 数据结构, 面向对象编程（OOP）
状态：免费试用IBM
您将获得的技能: 人工智能, 负责任的人工智能, AI 工作流程, 自助服务技术, 生成式人工智能, 深度学习, ChatGPT, AI 赋能, 数据分析, 模型部署, Prompt Engineering, 应用程序部署, 机器学习, 自然语言处理, 人工智能和机器学习（AI/ML）, 数据科学, 分析, 提示模式, 无代码开发, IBM 云
状态：免费试用Vanderbilt University
您将获得的技能: Prompt Engineering, Generative AI, ChatGPT, Ideation, Verification And Validation, Creative Problem-Solving, AI Enablement, Expense Reports, Responsible AI, AI Personalization, Image Analysis, Creativity, LLM Application, Innovation, Brainstorming, Game Design, Expense Management, Organizational Skills, Artificial Intelligence, Lesson Planning
状态：新状态：免费试用Real Madrid Graduate School Universidad Europea
您将获得的技能: Data Presentation, Matplotlib, Data Synthesis, Probability Distribution, Data Processing, Data Integration, Data Literacy, Performance Analysis, Exploratory Data Analysis, Statistical Analysis, Probability, Analysis, Image Analysis, Data Cleansing, Descriptive Analytics, Reinforcement Learning, Business Analytics, Statistical Methods, Machine Learning, Data Collection
总之，以下是 10 最受欢迎的 computer vision 课程
- Deep Learning for Object Detection: MathWorks
- Basic Image Classification with TensorFlow: Coursera
- Computer Vision: YOLO Custom Object Detection with Colab GPU: Packt
- 照相机和成像: Columbia University
- 计算视觉: University of Colorado Boulder
- Computer Vision: Face Recognition Quick Starter in Python: Packt
- 计算机科学有目的的编程: Princeton University
- Prompt Engineering for Vision Models: DeepLearning.AI
- 解决问题的计算思维: University of Pennsylvania
- 面向所有人的人工智能基础: IBM
