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
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：预览Universitat Autònoma de Barcelona
您将获得的技能: Computer Vision, Image Analysis, Convolutional Neural Networks, Model Evaluation, Classification Algorithms, Computational Thinking, Machine Learning Methods, Supervised Learning, Machine Learning Algorithms
状态：新您将获得的技能: Computer Vision, Image Analysis, PyTorch (Machine Learning Library), Convolutional Neural Networks, Tensorflow, Artificial Intelligence, Transfer Learning, System Configuration, Deep Learning, Real Time Data, Performance Tuning, Model Deployment, Development Environment, Software Installation
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University of California San Diego
您将获得的技能: Algorithm, 数据结构, 理论计算机科学, 线性代数, 计算逻辑, 运筹学, Networking 路由器, 计算思维, 编程原则, 大数据, 计算机科学, Python 程序设计, 概率与统计, 网络分析, 图论, 网络模型
状态：免费试用Scrimba
您将获得的技能: Prompt Engineering, 生成式人工智能, ChatGPT, 视觉转换器（ViT）, OpenAI 应用程序接口, 计算机视觉, 多模式 Prompt, 人工智能, OpenAI, 图像分析
Google Cloud
您将获得的技能: 卷积神经网络, 深度学习, 机器学习, 迁移学习, 张力流, 应用机器学习, Keras（神经网络库）, 图像分析
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: 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
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
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
Coursera
您将获得的技能: 数据导入/导出, ChatGPT, Python 程序设计, 机器学习, 人工神经网络, 数据预处理, 性能调整, 应用机器学习, Machine Learning 方法, 张力流, Keras（神经网络库）, 模型评估, 图像分析
总之，以下是 10 最受欢迎的 image segmentation 课程
- Segmenting the Market with Jagdish Sheth: Kennesaw State University
- Clasificación de imágenes: ¿cómo reconocer el contenido de una imagen?: Universitat Autònoma de Barcelona
- Jetson Nano Starter to Pro - A Computer Vision Course: Packt
- Advanced Generative Adversarial Networks (GANs): Packt
- 高级算法和复杂性: University of California San Diego
- Dall-E 和 GPT Vision 简介: Scrimba
- 利用迁移学习对猫狗图像进行分类: Google Cloud
- Build Image Quality Inspection using AWS Lookout for Vision: Coursera
- Image Classification on Autopilot with AWS AutoGluon: Coursera
- Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API: Google Cloud
