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：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：新状态：预览Simplilearn
您将获得的技能: Convolutional Neural Networks, Image Analysis, Computer Vision, Deep Learning, Artificial Neural Networks, Model Evaluation, Data Preprocessing, Python Programming
状态：免费试用您将获得的技能: Computer Vision, Applied Machine Learning, Digital Signal Processing
状态：预览Pontificia Universidad Católica de Chile
您将获得的技能: Image Analysis, Image Quality, Computer Vision, Digital Signal Processing, Python Programming, Algorithms, Color Theory, Linear Algebra
状态：免费试用Google Cloud
您将获得的技能: 卷积神经网络, 分类算法, 深度学习, 人工神经网络, 应用机器学习, 计算机视觉, 张力流, 数据预处理, 功能工程, 模型评估, 迁移学习, Google 云端平台, 图像分析
状态：免费试用University of Michigan
您将获得的技能: 应用编程接口 (API), Python 程序设计, 面向对象编程（OOP）, 软件设计, 集成开发环境, 软件工程, 统一模型语言, Jupyter, 计算机视觉, 计算机编程, 图像分析
您将获得的技能: Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Google Cloud Platform, Deep Learning, Real Time Data, Python Programming, Applied Machine Learning, Development Environment, Data Preprocessing, Model Evaluation, Performance Tuning, Data Collection, Software Installation
状态：预览Universidad de los Andes
您将获得的技能: Computer Vision, Vision Transformer (ViT), Convolutional Neural Networks, Image Analysis, Generative AI, Deep Learning, Augmented and Virtual Reality (AR/VR), Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics, Autoencoders, Unsupervised Learning, 3D Assets
您将获得的技能: Model Evaluation, Keras (Neural Network Library), Tensorflow, Image Analysis, Artificial Neural Networks, Deep Learning, Computer Vision, Machine Learning, Classification Algorithms
状态：新状态：预览您将获得的技能: Customer Analysis, Statistical Visualization, Unsupervised Learning, Customer Insights, Correlation Analysis, Data Preprocessing, Pandas (Python Package), Heat Maps, Data Manipulation, Seaborn, Histogram, Scatter Plots, Matplotlib, Exploratory Data Analysis, Applied Machine Learning, Data Visualization Software
状态：预览DeepLearning.AI
您将获得的技能: Convolutional Neural Networks, Computer Vision, Keras (Neural Network Library), Image Analysis, Deep Learning, Transfer Learning, Artificial Neural Networks, Tensorflow, Dimensionality Reduction, Network Architecture, Data Preprocessing, Model Evaluation
状态：新状态：免费试用您将获得的技能: Image Analysis, Cloud Deployment, Tensorflow, Amazon Web Services, Convolutional Neural Networks, Model Deployment, Application Development, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Data Preprocessing
总之，以下是 10 最受欢迎的 image segmentation 课程
- Clasificación de imágenes: ¿cómo reconocer el contenido de una imagen?: Universitat Autònoma de Barcelona
- Introduction to CNN Training: Simplilearn
- AI Applications: Computer Vision and Speech Recognition: Edureka
- Procesamiento de Imágenes: Pontificia Universidad Católica de Chile
- 使用谷歌云的计算机视觉基础: Google Cloud
- Python 项目：软件工程和图像处理: University of Michigan
- Computer Vision: YOLO Custom Object Detection with Colab GPU: Packt
- Visión artificial contemporánea: Universidad de los Andes
- Basic Image Classification with TensorFlow: Coursera
- Customer Segmentation with K-Means: Model & Visualize: EDUCBA
