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：新状态：预览您将获得的技能: Unsupervised Learning, Customer Analysis, Applied Machine Learning, R Programming, Data Preprocessing, Statistical Machine Learning, Machine Learning, Feature Engineering, Data Analysis
状态：免费试用University of Colorado Boulder
您将获得的技能: 心理学, 计算思维, 计算机视觉, 人工神经网络, 卷积神经网络, 人工智能和机器学习（AI/ML）, 深度学习, 图像分析, 计算机图形学
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
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
状态：免费试用Vanderbilt University
您将获得的技能: 数据处理, 散点图, 数字信号处理, 分类算法, 回归分析, 预测建模, 数据分析, 应用机器学习, 柱状图, 数据可视化软件, Matlab, 图像分析
Google Cloud
您将获得的技能: 无监督学习, 模型部署, 云部署, 生成模型架构, 生成式人工智能, 图像分析
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：新状态：免费试用您将获得的技能: Amazon Elastic Compute Cloud, Amazon Web Services, Model Deployment, Tensorflow, Image Analysis, Convolutional Neural Networks, Feature Engineering, Data Preprocessing, Deep Learning, Applied Machine Learning, Application Development, Recurrent Neural Networks (RNNs), Model Evaluation
您将获得的技能: PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Computer Vision, Transfer Learning, Applied Machine Learning, Model Evaluation, Deep Learning
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: Model Evaluation, Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Image Analysis, Tensorflow, Computer Vision, Transfer Learning, Applied Machine Learning, Machine Learning, Data Preprocessing, Python Programming
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, Algorithms, Computer Science, Probability & Statistics
总之，以下是 10 最受欢迎的 image segmentation 课程
- R: Apply & Analyze K-Means Clustering for Unsupervised ML: EDUCBA
- 计算视觉: University of Colorado Boulder
- Computer Vision: Face Recognition Quick Starter in Python: Packt
- Traitement d'images : analyse fréquentielle et multi-échelle: Institut Mines-Télécom
- 使用 MATLAB 进行数据、信号和图像分析入门: Vanderbilt University
- 图像生成简介: Google Cloud
- Build a Machine Learning Image Classifier with Python: Coursera
- Image Captioning with TensorFlow & Streamlit: EDUCBA
- Deep Learning with PyTorch : Object Localization: Coursera
- 用 TensorFlow 卷积神经网络对图像进行分类: Google Cloud
