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：预览Institut Mines-Télécom
您将获得的技能: Image Quality, Image Analysis, Computer Vision, Digital Signal Processing, Python Programming, Computer Programming, Medical Imaging, Mathematics and Mathematical Modeling, Jupyter, Algorithms, Computer Science, Data Import/Export
状态：新状态：免费试用您将获得的技能: Model Evaluation, Convolutional Neural Networks, Data Preprocessing, Keras (Neural Network Library), Image Analysis, Deep Learning, Tensorflow, Computer Vision, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Data Manipulation, Data Transformation, Financial Forecasting, Data Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Python Programming, Customer Analysis, Applied Machine Learning, Cloud Computing
状态：免费试用Johns Hopkins University
您将获得的技能: Responsible AI, Autoencoders, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Data Ethics, Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Machine Learning Algorithms, Model Deployment, Debugging, Artificial Intelligence, Image Analysis, Unsupervised Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Computer Vision
状态：免费试用您将获得的技能: Multimodal Prompts, LLM Application, OpenAI API, Application Development, Web Applications, Flask (Web Framework), Web Development, Software Development
状态：预览DeepLearning.AI
您将获得的技能: Convolutional Neural Networks, Image Analysis, Computer Vision, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Transfer Learning, Network Architecture
状态：预览Universidad de los Andes
您将获得的技能: Recurrent Neural Networks (RNNs), Deep Learning, Convolutional Neural Networks, Generative Model Architectures, Generative Adversarial Networks (GANs), Transfer Learning, Vision Transformer (ViT), Image Analysis, Artificial Neural Networks, Machine Learning Methods, Computer Vision, Network Architecture, Natural Language Processing
状态：免费试用您将获得的技能: Generative AI, Oracle Cloud, Large Language Modeling, AI Enablement, Artificial Intelligence, Supervised Learning, Prompt Engineering, Deep Learning, Machine Learning, Artificial Neural Networks, Unsupervised Learning, Computer Vision, Natural Language Processing, Recurrent Neural Networks (RNNs)
状态：免费试用您将获得的技能: Backlogs, Stakeholder Communications, Virtual Teams, Stakeholder Management, Agile Product Development, Agile Methodology, Communication, Cross-Functional Collaboration, Negotiation, Conflict Management, Product Management, Product Requirements, User Story, Team Building, Prioritization, Customer experience strategy (CX)
状态：免费试用您将获得的技能: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Classification Algorithms, Transfer Learning, Applied Machine Learning, Image Analysis, Model Evaluation, Artificial Neural Networks, Computer Vision, Data Preprocessing
状态：新状态：免费试用您将获得的技能: Model Evaluation, Convolutional Neural Networks, Keras (Neural Network Library), Image Analysis, Data Preprocessing, Deep Learning, Computer Vision, Tensorflow, Python Programming, Cloud Computing, Development Environment
状态：预览Institut Mines-Télécom
您将获得的技能: Image Analysis, Digital Signal Processing, Computer Vision, NumPy, Numerical Analysis, Python Programming, Applied Mathematics
您将获得的技能: AWS SageMaker, Image Analysis, Deep Learning, Keras (Neural Network Library), Model Evaluation, Convolutional Neural Networks, PyTorch (Machine Learning Library), Tensorflow, Computer Vision, Applied Machine Learning, Machine Learning, Python Programming, Matplotlib, Data Science
与 vision 相关的搜索
总之，以下是 10 最受欢迎的 vision 课程
- Traitement d'images : introduction au filtrage: Institut Mines-Télécom
- Deep Learning with Python: CNN, ANN & RNN: EDUCBA
- Foundations of Neural Networks: Johns Hopkins University
- Build Multimodal Generative AI Applications: IBM
- Сверточные нейронные сети: DeepLearning.AI
- Introducción al deep learning contemporáneo: Universidad de los Andes
- Oracle Cloud Infrastructure AI Foundations: Oracle
- Product Owner: Communications & Stakeholder Management : SkillUp
- Building and Training Neural Networks with PyTorch: Packt
- Master CNNs with Python: Build, Train & Evaluate Models: EDUCBA
