tensorflow

name	tensorflow
description	TensorFlow machine learning platform with Keras. Use for ML models.

TensorFlow

TensorFlow is Google's mature ML framework. In 2025, it is largely in maintenance mode compared to JAX/PyTorch, but remains specific for TFLite and legacy production.

When to Use

• Mobile (TFLite): Deploying to Android/iOS (though LiteRT is separating).
• Legacy Enterprise: Many Fortune 500s still run TFv2 pipelines.
• TFX: Complex MLOps pipelines.

Core Concepts

SavedModel

The universal serialization format.

TFLite

Optimized runtime for edge devices.

XLA

Accelerated Linear Algebra compiler (now shared with JAX).

Best Practices (2025)

Do:

• Use Keras 3: If you must use generic TensorFlow, use Keras 3 as the interface.
• Migrate to JAX: For new Google-stack research projects.

Don't:

• Don't start new research in TF: Use PyTorch or JAX.

References

• TensorFlow Documentation