图像分类课程
图像分类课程可以帮助您学习识别和分类图像、构建神经网络和实施卷积神经网络（CNN）的技术。您还可以培养数据预处理、模型 Evaluation 和性能优化方面的技能。许多课程介绍了 TensorFlow 和 PyTorch 等工具，这些工具支持训练模型和部署 AI 应用程序。
热门图像分类课程和认证
状态：新状态：免费试用您将获得的技能: Serverless Computing, Computer Vision, Image Analysis, Amazon Web Services, AI Enablement, Amazon S3, AWS Identity and Access Management (IAM), Text Mining, Data Processing, Unstructured Data
状态：新状态：预览Institut Mines-Télécom
您将获得的技能: Image Analysis, Computer Vision, Computer Graphics, Computational Thinking, Digital Signal Processing, Artificial Intelligence and Machine Learning (AI/ML), Algorithms
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)
状态：免费试用MathWorks
您将获得的技能: Algorithm, 机器学习, 卷积神经网络, 计算机视觉, 深度学习, 数据预处理, Transfer Learning, 分类算法, Matlab, 医学影像, Data Validation, 估算, 机器学习算法, Model Evaluation, 交通流优化, 地理空间信息与技术, Machine Learning 方法, 图像分析, 人工智能和机器学习（AI/ML）
状态：新状态：免费试用University of Colorado Boulder
您将获得的技能: Autoencoders, Convolutional Neural Networks, Generative Adversarial Networks (GANs), Applied Machine Learning, Model Deployment, Unsupervised Learning, Artificial Intelligence, Classification Algorithms
状态：免费试用University of Colorado Boulder
您将获得的技能: Computer Vision, Image Analysis, Computer Graphics, Convolutional Neural Networks, Computer Science, Visualization (Computer Graphics), Artificial Intelligence, Data Ethics, Deep Learning, Machine Learning Methods, Applied Machine Learning, Responsible AI, Data Processing, Linear Algebra, Microsoft Excel, Digital Signal Processing, Data Transformation
状态：免费试用IBM
您将获得的技能: 机器学习, 监督学习, 决策树学习, 数据预处理, 分类算法, 随机森林算法, 性能指标, 预测建模, 逻辑回归, 抽样（统计）, 功能工程, Model Evaluation, 数据清理, Scikit-learn （机器学习库）
状态：免费试用您将获得的技能: Model Deployment, Anomaly Detection, Image Analysis, Computer Vision, Matlab, Deep Learning, Applied Machine Learning, PyTorch (Machine Learning Library), Transfer Learning, Data Synthesis
状态：免费试用MathWorks
您将获得的技能: Algorithm, 空间数据分析, 计算机视觉, 异常检测, 数据预处理, Matlab, 图像质量, 数据存储, 医学影像, 交通流优化, 自动化, 数字信号处理, 图像分析, 定量研究, 地理空间信息与技术, 空间分析
状态：免费试用您将获得的技能: Model Evaluation, Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Matlab, Artificial Neural Networks, Deep Learning, Applied Machine Learning, Classification Algorithms, Performance Tuning
状态：免费试用DeepLearning.AI
您将获得的技能: 网络架构, 计算机视觉, 深度学习, Transfer Learning, 卷积神经网络, 分类算法, Keras（神经网络库）, Model Evaluation, 图像分析, 可视化（计算机制图）, 张力流
状态：免费试用Vanderbilt University
您将获得的技能: 计算机视觉, Prompt Engineering, 社交媒体内容, 数据叙事, 人工智能, 支出管理, 烹饪, 摄影, 生成式人工智能, 图像分析, 支出报告, 项目控制, 组织技能
总之，以下是 10 最受欢迎的 image classification 课程
- Master AWS Rekognition: Analyze, Detect, and Automate: EDUCBA
- Traitement d'images : recalage et reconnaissance de formes: Institut Mines-Télécom
- Image Classification with Keras: Build & Optimize: EDUCBA
- 工程与科学计算机视觉: MathWorks
- Deep Learning for Computer Vision: University of Colorado Boulder
- Introduction to Computer Vision: University of Colorado Boulder
- 有监督的机器学习：分类: IBM
- Advanced Deep Learning Techniques for Computer Vision: MathWorks
- 工程与科学图像处理: MathWorks
- Introduction to Deep Learning for Computer Vision: MathWorks
