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
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
IBM
您将获得的技能: 计算机视觉, Transfer Learning, Python 程序设计, 应用程序开发, 卷积神经网络, 模型评估, 云应用, 分类算法, Jupyter, 云部署, IBM 云, 深度学习
状态：新状态：预览Cleveland Clinic
您将获得的技能: Convolutional Neural Networks, Transfer Learning, Healthcare 5.0, Predictive Modeling, Applied Machine Learning, Biomedical Engineering, Model Evaluation, Health Informatics, Data Structures
状态：免费试用MathWorks
您将获得的技能: Model Evaluation, Computer Vision, Model Deployment, Anomaly Detection, Convolutional Neural Networks, Image Analysis, Transfer Learning, Matlab, Deep Learning, Artificial Neural Networks, Unsupervised Learning, Applied Machine Learning, PyTorch (Machine Learning Library), Data Preprocessing, Classification Algorithms, Data Visualization, Machine Learning Methods, Data Synthesis, Performance Tuning, Data Analysis
状态：免费试用DeepLearning.AI
您将获得的技能: 计算机视觉, Transfer Learning, 卷积神经网络, Keras（神经网络库）, 模型评估, 人工神经网络, 图像分析, 张力流, 深度学习, 网络架构
状态：免费试用您将获得的技能: Supervised Learning, Data Modeling, Applied Machine Learning, Data Analysis, Regression Analysis, Unsupervised Learning, Classification Algorithms, Machine Learning, Predictive Modeling, Decision Tree Learning, Logistic Regression, Model Evaluation, Random Forest Algorithm
是什么让您今天来到 Coursera？
Google Cloud
您将获得的技能: 卷积神经网络, Keras（神经网络库）, 递归神经网络 (RNN), 模型评估, 张力流, 图像分析, 深度学习
您将获得的技能: PyTorch (Machine Learning Library), Convolutional Neural Networks, Model Evaluation, Transfer Learning, Image Analysis, Computer Vision, Deep Learning, Python Programming
Google Cloud
您将获得的技能: Google 云端平台, 计算机视觉, 云计算, 卷积神经网络, 科学可视化, 模型评估, 人工神经网络, 数据收集, 张力流, 图像分析, 深度学习
状态：免费试用Microsoft
您将获得的技能: 计算机视觉, 模型部署, 人工智能, 文本挖掘, 数据采集, 应用编程接口 (API), 微软 Azure, 分类算法, 文件管理, 图像分析
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：预览您将获得的技能: Computer Vision, Image Analysis, Convolutional Neural Networks, Transfer Learning, Deep Learning, Generative AI, Generative Model Architectures, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Recurrent Neural Networks (RNNs), Applied Machine Learning, Data Processing, Network Architecture, Feature Engineering, Model Evaluation
总之，以下是 10 最受欢迎的 image classification 课程
- Basic Image Classification with TensorFlow: Coursera
- 计算机视觉和图像处理入门: IBM
- Computer Vision and Sequence Analysis in Machine Learning: Cleveland Clinic
- Deep Learning for Computer Vision: MathWorks
- 卷积神经网络: DeepLearning.AI
- Supervised Learning Regression Classification Clustering: Simplilearn
- 创建图像字幕模型: Google Cloud
- Aerial Image Segmentation with PyTorch : Coursera
- 用 TensorFlow 卷积神经网络对图像进行分类: Google Cloud
- 微软 Azure 中的计算机视觉: Microsoft
