Glossary term
Glossary term
Infrastructure and Serving
The primary data structure in TensorFlow programs. Tensors are N-dimensional (where N could be very large) data structures, most commonly scalars, vectors, or matrixes. The elements of a Tensor can hold integer, floating-point, or string values.
Created for this library
An ML engineer reasons about input tensors as multi-dimensional arrays when designing data pipelines.
A research engineer logs tensor shapes throughout training to catch shape mismatches early.
An ML platform team adds tensor-shape assertions in production graphs so shape errors fail loudly at model load time.
Definition source: Google for Developers Machine Learning Glossary | Creative Commons Attribution 4.0 License