What Are Tensors?

Name: What Are Tensors?
Uploaded: 2026-06-16T14:30:08.907Z
Duration: 1 min 18 s
Channel: Hugging Face
Description: Educational video from Hugging Face explaining tensors as the fundamental numerical structures that machine learning models operate on.

Hugging Face16 June 2026Watch on YouTube

Description

Scalars, vectors, matrices.Scalars, vectors, matrices... Tensors are just numbers organized by shape. They're the numerical representation of your input that every ML model operates on. #TransformersJS #JavaScript #MachineLearning #AI #WebAI #Tensors

What you'll learn

Tensors are numbers organized by shape, the fundamental numerical structure that machine learning models operate on
Scalars, vectors, and matrices are forms of tensors with increasing dimensionality
Tensors form the numerical representation of your input for ML models

Frequently asked questions

What are tensors in machine learning?

Tensors are numbers organized by shape. They form the numerical representation of your input that ML models operate on.

What is the difference between scalars, vectors, and matrices?

Scalars, vectors, and matrices are all forms of tensors with increasing dimensionality. A scalar is a single number, a vector is a row of numbers, and a matrix is a two-dimensional array.

Why are tensors important for machine learning models?

Tensors are the fundamental structure that ML models operate on. They transform your input into a numerical form that the model can process.