关于TensorFlow | TensorFlow中文官网

借助 TensorFlow，轻松创建可在任何环境中运行的机器学习模型。 通过交互式代码示例，了解如何使用直观的 API。
查看相关示例，了解 TensorFlow 如何用于推进研究并构建 AI 赋能的应用。
Explore the latest advancements in running models client-side with speakers from Chrome, MediaPipe, Intel, Hugging Face, Microsoft, LangChain, and more.
GNNs can process complex relationships between objects, making them a powerful technique for traffic forecasting, medical discovery, and more.
了解 Spotify 如何利用 TensorFlow 生态系统设计出可扩展的离线模拟器，并训练 RL Agents 生成播放列表。
阅读 TensorFlow 团队和社区发布的最新公告。
探索经过生产环境测试的工具，加快建模、部署和其他工作流。
Train and run models directly in the browser using JavaScript or Node.js.
Deploy ML on mobile and edge devices such as Android, iOS, Raspberry Pi, and Edge TPU.
Preprocess data and create input pipelines for ML models.
Create production ML pipelines and implement MLOps best practices.
Create ML models with TensorFlow's high-level API.
Find pre-trained models ready for fine-tuning and deployment.
Browse the collection of standard datasets for initial training and validation.
Visualize and track development of ML models.
Pretrained models and ready-to-use datasets for image, text, audio, and video use cases.
Packages for domain-specific applications and APIs for languages other than Python.
Tools to evaluate models, optimize performance, and productionize ML workflows.
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刚接触机器学习？您可以从 TensorFlow 的精选课程入手，也可以浏览丰富的图书、在线课程和视频资源库。
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