Is TensorFlow relevant in 2026? Yes, but its role has changed.
The current distribution is as follows:
PyTorch dominates research and GenAI (over 85% of new articles/LLMs).
TensorFlow remains the industry backbone for enterprise deployment and edge AI (TFX, TF Lite).
The innovation is Keras 3, which bridges the gap by allowing code to run on JAX, PyTorch, or TF backends.
Learn PyTorch to invent and learn TensorFlow to deploy at scale. But it's still relevant!
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