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
Google Cloud
您将获得的技能: 卷积神经网络, 深度学习, 递归神经网络 (RNN), 张力流, Keras（神经网络库）, 模型评估, 图像分析
状态：预览Pontificia Universidad Católica de Chile
您将获得的技能: Image Quality, Image Analysis, Computer Vision, Digital Signal Processing, Computer Graphics, Python Programming, Color Theory, NumPy, Algorithms, Linear Algebra
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：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, Classification 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：新状态：免费试用您将获得的技能: Keras (Neural Network Library), Convolutional Neural Networks, Transfer Learning, Model Evaluation, Image Analysis, Computer Vision, Deep Learning, Tensorflow, Applied Machine Learning, Data Preprocessing, Jupyter, Matplotlib, Visualization (Computer Graphics)
Coursera
您将获得的技能: Image Analysis, Software Installation, Data Analysis, Analysis, Scientific Methods, User Interface (UI)
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
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：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：新状态：免费DeepLearning.AI
您将获得的技能: Prompt Engineering, Multimodal Prompts, Generative AI, Vision Transformer (ViT), Image Analysis, Computer Vision, AI Personalization, AI Workflows
状态：免费试用DeepLearning.AI
您将获得的技能: PyTorch（机器学习库）, 数据伦理, 负责任的人工智能, 生成对抗网络 (GAN), 生成式人工智能, 模型评估, 机器学习, 生成模型架构, 无监督学习, 图像质量
总之，以下是 10 最受欢迎的 image segmentation 课程
- 创建图像字幕模型: Google Cloud
- Procesamiento de Imágenes: Pontificia Universidad Católica de Chile
- Clasificación de imágenes: ¿cómo reconocer el contenido de una imagen?: Universitat Autònoma de Barcelona
- Réseaux neuronaux convolutifs: DeepLearning.AI
- Introduction to CNN Training: Simplilearn
- Image Classification with Keras: Build & Optimize: EDUCBA
- Getting started with ImageJ: Coursera
- R: Apply & Analyze K-Means Clustering for Unsupervised ML: EDUCBA
- Build a Machine Learning Image Classifier with Python: Coursera
- Traitement d'images : analyse fréquentielle et multi-échelle: Institut Mines-Télécom
