TensorFlow covers the production end of machine learning for us. Training custom models, serving them at scale, and squeezing optimised versions onto mobile and edge devices.
When to Choose TensorFlow
Use TensorFlow when you need a custom trained model in production. Vision, forecasting, or on-device inference where a hosted API simply will not do.
Core Technical Strengths
- Production-grade serving and model versioning
- TensorFlow Lite for mobile and edge inference
- Strong computer-vision and sequence modelling support
- Mature monitoring and MLOps integrations
Common Enterprise Use Cases
- Medical imaging and defect-detection vision models
- Demand and churn forecasting
- On-device inference in mobile apps
- Recommendation and ranking systems