Features
deep-learningproductiongooglescalable
Pros and Cons
Ventajas
- + Excellent for production and deployment
- + TensorFlow Serving for inference
- + TensorFlow Lite for mobile/edge
- + Keras integrated as high-level API
- + Large ecosystem and documentation
Desventajas
- - Steep learning curve
- - Historically inconsistent API
- - Debugging harder than PyTorch
- - Verbose for prototyping
Use Cases
- Production models at scale
- Mobile applications with TF Lite
- Enterprise computer vision
- NLP and transformers
- Edge AI and IoT