TensorFlow
定义
TensorFlow is a deep learning framework with a focus on production deployment. Keras 是高级 API. 它支持 CPU, GPU, TPU, and mobile/edge (TFLite). 它是 an alternative to PyTorch; TensorFlow and Keras are strong for production pipelines, infrastructure (TF Serving, TPU), and mobile (TFLite). Used for vision, NLP, and recommendation systems; the ecosystem includes TensorFlow Hub for pretrained models.
工作原理
用 Keras（顺序或函数式 API）或更底层的 TensorFlow API 构建模型。用 eager 执行**训练tion (default, PyTorch-like) or graph mode (faster, exportable). Export to SavedModel (standard serving format) or TFLite (mobile/edge, with quantization support). TensorFlow Hub and Keras Applications provide pretrained models for transfer learning. Distributed training uses tf.distribute; deployment uses TF Serving, Vertex AI, or on-device TFLite. The pipeline from data (tf.data) to training to serving is well integrated.
应用场景
TensorFlow suits production pipelines, mobile/edge (TFLite), and quick prototyping with Keras and Hub models.
- Production ML pipelines and serving (例如 SavedModel, TF Serving)
- Mobile and edge deployment (TFLite)
- Quick prototyping with Keras and pretrained models from Hub