What are tensors in TensorFlow?

Updated May 16, 2026

Short answer

Tensors are multi-dimensional arrays used as core data structures in TensorFlow.

Deep explanation

A tensor generalizes scalars, vectors, and matrices into higher dimensions. TensorFlow operations manipulate tensors across CPUs, GPUs, and TPUs efficiently.

Real-world example

Pixel data in images is stored as 3D tensors.

Common mistakes

Confusing tensors with Python lists.

Follow-up questions

What is tensor rank?

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