图像分割课程
图像分割课程可以帮助您学习像素分类、边界检测和 Object Recognition 技术。您可以掌握使用 Convolutional Neural Network、理解图像预处理方法和实施分割算法的技能。许多课程介绍了 TensorFlow 和 OpenCV 等工具，这些工具支持在涉及计算机视觉和人工智能的项目中应用这些技能。
热门图像分割课程与认证
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
Google Cloud
您将获得的技能: 张力流, 人工神经网络, 卷积神经网络, 科学可视化, 数据收集, 云计算, 计算机视觉, 深度学习, 模型评估, Google 云端平台, 图像分析
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
Coursera
您将获得的技能: Cascading Style Sheets (CSS), Responsive Web Design, Browser Compatibility, Hypertext Markup Language (HTML), Web Development Tools, Web Design, Web Development
Google Cloud
您将获得的技能: Convolutional Neural Networks, Tensorflow, Image Analysis, Computer Vision, NumPy, Data Processing, Feature Engineering, Google Cloud Platform, Cloud Computing
状态：免费DeepLearning.AI
您将获得的技能: Model Deployment, Performance Testing, Android Development, Transfer Learning, Image Analysis, PyTorch (Machine Learning Library), Tensorflow, Hardware Architecture, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence
状态：免费试用您将获得的技能: Generative Adversarial Networks (GANs), Transfer Learning, Artificial Neural Networks, Keras (Neural Network Library), Image Analysis, Convolutional Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Data Preprocessing, Embeddings, Network Architecture, Matplotlib, Jupyter, NumPy
状态：免费试用Kennesaw State University
您将获得的技能: Target Market, Strategic Marketing, Product Marketing, Marketing Strategy and Techniques, Product Strategy, Market Research, Growth Strategies, Market Analysis, Marketing Psychology, Revenue Management, Promotional Strategies, Competitive Analysis, Consumer Behaviour
状态：免费试用Scrimba
您将获得的技能: Prompt Engineering, 多模式 Prompt, 视觉转换器（ViT）, OpenAI 应用程序接口, 生成式人工智能, 计算机视觉, 人工智能, ChatGPT, 图像分析, OpenAI
您将获得的技能: Image Analysis, Cloud API, Google Cloud Platform, Applied Machine Learning, Computer Vision, Application Programming Interface (API), Machine Learning
您将获得的技能: Model Evaluation, Image Analysis, Amazon Web Services, Image Quality, Computer Vision, Model Deployment, Data Import/Export, Anomaly Detection, Data Science, Machine Learning, Cloud Computing
您将获得的技能: Model Evaluation, Applied Machine Learning, Google Cloud Platform, Image Analysis, Cloud Computing, Cloud Storage, Predictive Modeling, Data Import/Export
总之，以下是 10 最受欢迎的 image segmentation 课程
- Computer Vision: Face Recognition Quick Starter in Python: Packt
- 用 TensorFlow 卷积神经网络对图像进行分类: Google Cloud
- Image Classification on Autopilot with AWS AutoGluon: Coursera
- Style Images with CSS: Coursera
- Introduction to Convolutions with TensorFlow: Google Cloud
- Introduction to On-Device AI: DeepLearning.AI
- Advanced Generative Adversarial Networks (GANs): Packt
- Segmenting the Market with Jagdish Sheth: Kennesaw State University
- Dall-E 和 GPT Vision 简介: Scrimba
- Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API: Google Cloud
