视觉课程
视觉课程可以帮助您学习视觉感知基础、图像处理技术和光学系统原理。您可以掌握分析 Visualization 数据、理解 Color Theory 以及将视觉设计原理应用于各种项目的技能。许多课程介绍了用于图像编辑的 Adobe Photoshop、用于模拟的 MATLAB 和用于计算机视觉的 Python 库等工具，展示了这些技能如何应用于平面设计、摄影和人工智能等领域。
热门视觉课程和认证
状态：免费试用Columbia University
您将获得的技能: 医学影像, Algorithm, 计算机视觉, 自动化工程, 三维建模, 数学建模, 可视化（计算机制图）, 计算机图形学, 图像分析
状态：免费试用MathWorks
您将获得的技能: 空间数据分析, 图像质量, 医学影像, 数字信号处理, Algorithm, 空间分析, 计算机视觉, Matlab, 图像分析
状态：预览Institut Mines-Télécom
您将获得的技能: 用户界面（UI）, 增强现实, 三维资产, 移动开发, 地理空间信息与技术, 增强现实与虚拟现实（AR/VR）, 原型设计, 全球定位系统, 图像分析, 计算机视觉, 安卓（操作系统）
状态：免费试用您将获得的技能: Model Deployment, Restful API, Application Deployment, Generative AI, Java, Development Environment, Image Analysis, Software Development, Computer Vision
状态：预览Korea Advanced Institute of Science and Technology(KAIST)
您将获得的技能: AI Enablement, Artificial Intelligence, Materials science, Artificial Neural Networks, Image Analysis, Computer Vision, Manufacturing Processes, Machine Learning, Process Control
您将获得的技能: PyTorch (Machine Learning Library), Transfer Learning, Convolutional Neural Networks, Digital Signal Processing, Image Analysis, Classification Algorithms, Model Evaluation, Deep Learning, Computer Vision, Telecommunications
状态：免费试用Illinois Tech
您将获得的技能: Recurrent Neural Networks (RNNs), Deep Learning, Generative AI, Convolutional Neural Networks, Transfer Learning, Image Analysis, Artificial Neural Networks, Keras (Neural Network Library), Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Network Architecture, Computer Vision, Natural Language Processing, Model Deployment, Model Evaluation
状态：预览DeepLearning.AI
您将获得的技能: Deep Learning, Artificial Neural Networks, Artificial Intelligence, NumPy, Computer Vision, Supervised Learning, Linear Algebra, Calculus
您将获得的技能: PyTorch (Machine Learning Library), Convolutional Neural Networks, Transfer Learning, Model Evaluation, Image Analysis, Computer Vision, Deep Learning, Python Programming
状态：免费试用University of Colorado Boulder
您将获得的技能: Robotics, Artificial Intelligence, Graph Theory, Algorithms, Control Systems, Computer Vision, Computer Science, Python Programming, Data Structures
状态：免费试用Arizona State University
您将获得的技能: Supervised Learning, Unsupervised Learning, Generative Adversarial Networks (GANs), Deep Learning, Image Analysis, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning, Artificial Neural Networks, Model Evaluation, Data Processing, Classification Algorithms, Computer Vision, Predictive Modeling, Computer Programming, Regression Analysis
状态：新状态：免费试用DeepLearning.AI
您将获得的技能: Model Deployment, PyTorch (Machine Learning Library), Generative AI, Deep Learning, Transfer Learning, MLOps (Machine Learning Operations), Convolutional Neural Networks, Software Visualization, Model Evaluation, Computer Vision
与 vision 相关的搜索
总之，以下是 10 最受欢迎的 vision 课程
- 三维重建 - 单视角: Columbia University
- 图像分割、过滤和区域分析: MathWorks
- 开始使用增强现实技术: Institut Mines-Télécom
- Generative AI for Java and Spring Development: SkillUp
- AI Materials: Korea Advanced Institute of Science and Technology(KAIST)
- Classify Radio Signals with PyTorch: Coursera
- Deep Learning: Illinois Tech
- Neuronale Netze und Deep Learning: DeepLearning.AI
- Aerial Image Segmentation with PyTorch : Coursera
- Robotic Path Planning and Task Execution: University of Colorado Boulder
