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Alfaisal University | KLD
您将获得的技能: Computer Vision, Natural Language Processing, Robotics, Machine Learning, Big Data, Artificial Intelligence, Supervised Learning, Deep Learning, Reinforcement Learning, Data Analysis
状态：免费试用Imperial College London
您将获得的技能: 计算机视觉, 数据管道, 模型评估, 贝叶斯统计, 卷积神经网络, 自然语言处理, 深度学习, 递归神经网络 (RNN), Keras（神经网络库）, 人工神经网络, 模型部署, 应用机器学习, 自动编码器, 迁移学习, 概率分布, 张力流, 监督学习, 图像分析, 生成模型架构, 数据预处理
状态：新状态：免费试用Alberta Machine Intelligence Institute
您将获得的技能: Prompt Engineering, Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, Generative AI Agents, LangChain, Large Language Modeling, Vision Transformer (ViT), ChatGPT, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Model Deployment, OpenAI API, Google Cloud Platform, Open Source Technology, Embeddings, Machine Learning, Python Programming, Probability & Statistics
您将获得的技能: AWS SageMaker, AWS Identity and Access Management (IAM), Amazon Web Services, Model Deployment, Image Analysis, Amazon Elastic Compute Cloud, Amazon S3, Machine Learning Algorithms, Data Preprocessing, Convolutional Neural Networks, Computer Vision, Deep Learning, Machine Learning
状态：新状态：免费试用您将获得的技能: Robotic Process Automation, Customer experience improvement, ChatGPT, Data Science, Machine Learning Methods
状态：预览DeepLearning.AI
您将获得的技能: Deep Learning, Artificial Neural Networks, Supervised Learning, Artificial Intelligence, Convolutional Neural Networks, Computer Vision, Recurrent Neural Networks (RNNs), Machine Learning
您将获得的技能: PyTorch (Machine Learning Library), Transfer Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Computer Vision, Model Evaluation, Data Preprocessing, Classification Algorithms
状态：免费试用University of Michigan
您将获得的技能: Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Precision Medicine, Generative AI, Machine Learning, Artificial Intelligence, Machine Learning Algorithms, Transfer Learning, Biomedical Engineering, Control Systems, Energy and Utilities, Technical Design, Robotics, Deep Learning, Computer Vision, Medical Imaging, Reinforcement Learning, Electric Power Systems, Bioinformatics
您将获得的技能: Embeddings, PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Deep Learning, Applied Machine Learning, Convolutional Neural Networks, Computer Vision
您将获得的技能: PyTorch (Machine Learning Library), Convolutional Neural Networks, Transfer Learning, Image Analysis, Deep Learning, Model Evaluation, Medical Imaging, Computer Vision, Machine Learning, Data Preprocessing
状态：免费试用IBM
您将获得的技能: 计算机视觉, 模型评估, 生成对抗网络 (GAN), 卷积神经网络, Machine Learning 方法, 无监督学习, 递归神经网络 (RNN), Keras（神经网络库）, 强化学习, 降维, 深度学习, 机器学习, 人工神经网络, 迁移学习, 人工智能, 自动编码器
状态：预览Universidad de los Andes
您将获得的技能: Artificial Intelligence, Image Analysis, Reinforcement Learning, Computer Vision, Machine Learning, Semantic Web, Natural Language Processing, Embedded Systems, Data Ethics, Supervised Learning, Deep Learning, Algorithms
与 vision 相关的搜索
总之，以下是 10 最受欢迎的 vision 课程
- أساسيات الذكاء الاصطناعي والبيانات الضخمة | AI: Alfaisal University | KLD
- 用于深度学习的 TensorFlow 2: Imperial College London
- Generative AI Fundamentals: Alberta Machine Intelligence Institute
- Semantic Segmentation with Amazon Sagemaker: Coursera
- Master AI Tools & Robotics: Analyze, Automate, Innovate: EDUCBA
- Нейронные сети и глубокое обучение: DeepLearning.AI
- Facial Expression Recognition with PyTorch : Coursera
- AI for Mechanical Engineers: University of Michigan
- Deep Learning with PyTorch : Siamese Network: Coursera
- Detecting COVID-19 with Chest X-Ray using PyTorch: Coursera
