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LearnKartS
您将获得的技能: Prompt Engineering, Computer Vision, Data Wrangling, Artificial Intelligence, Cloud Security, Embeddings, Model Deployment, MLOps (Machine Learning Operations), Data Security, Data Governance, Deep Learning, Encryption, Public Cloud, General Data Protection Regulation (GDPR)
您将获得的技能: Data Preprocessing, Keras (Neural Network Library), Model Evaluation, Image Analysis, Data Manipulation, Visualization (Computer Graphics), Convolutional Neural Networks, Applied Machine Learning, Computer Vision, Jupyter, Deep Learning, Python Programming, Machine Learning
状态：免费试用MathWorks
您将获得的技能: 异常检测, 自动化, 数据存储, 交通流优化, Matlab, 图像分析, 计算机视觉, 数据预处理
状态：免费试用University of Michigan
您将获得的技能: Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Transfer Learning, Control Systems, Robotics, Deep Learning, Computer Vision, Artificial Intelligence, Generative AI, Reinforcement Learning, Algorithms
状态：预览Intel
您将获得的技能: 可扩展性, 深度学习, 生成对抗网络 (GAN), Machine Learning 方法, 强化学习, 人工神经网络, 卷积神经网络, 自然语言处理, 计算机视觉, 性能调整, 递归神经网络 (RNN), 迁移学习
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：预览DeepLearning.AI
您将获得的技能: Deep Learning, Supervised Learning, Artificial Neural Networks, Convolutional Neural Networks, Computer Vision, Recurrent Neural Networks (RNNs), Machine Learning, Performance Tuning, Python Programming, NumPy, Linear Algebra, Algorithms
状态：免费试用您将获得的技能: PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Model Evaluation, Convolutional Neural Networks, Natural Language Processing, Deep Learning, Generative Adversarial Networks (GANs), Classification Algorithms, Transfer Learning, Applied Machine Learning, Vision Transformer (ViT), Image Analysis, Machine Learning, Computer Vision, Artificial Neural Networks, Artificial Intelligence, Unsupervised Learning, Python Programming, Embeddings, Data Preprocessing
状态：免费DeepLearning.AI
您将获得的技能: Hugging Face, LLM Application, Generative AI, Model Deployment, Cloud Deployment, Natural Language Processing, Large Language Modeling, Applied Machine Learning, User Interface (UI), API Design, Computer Vision
状态：免费试用University of Colorado Boulder
您将获得的技能: Robotics, Artificial Intelligence, Graph Theory, Algorithms, Computer Vision, Data Structures, Python Programming
状态：新状态：免费试用Alberta Machine Intelligence Institute
您将获得的技能: Prompt Engineering, Large Language Modeling, Responsible AI, Generative AI, LLM Application, Data Ethics, AI Workflows, Business Ethics, ChatGPT, AI Enablement, AI Product Strategy, Case Studies, Regulatory Requirements, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Computer Vision, Natural Language Processing, Reinforcement Learning, Data Processing, Data Science
状态：新状态：免费试用DeepLearning.AI
您将获得的技能: Convolutional Neural Networks, Image Analysis, Data Pipelines, Data Preprocessing, Model Evaluation, Machine Learning
总之，以下是 10 最受欢迎的 vision 课程
- AWS AI Practitioner Certification Prep: LearnKartS
- Build a Machine Learning Image Classifier with Python: Coursera
- 图像处理自动化: MathWorks
- AI for Autonomous Vehicles and Robotics: University of Michigan
- 实用深度学习入门: Intel
- Classify Radio Signals with PyTorch: Coursera
- Réseaux neuronaux et Deep Learning: DeepLearning.AI
- PyTorch Ultimate 2024 - From Basics to Cutting-Edge: Packt
- Open Source Models with Hugging Face: DeepLearning.AI
- Robotic Path Planning and Task Execution: University of Colorado Boulder
