Which of the following options is not a tensor attribute?

The correct answer is D. node (Node). Option D is correct because node is not a tensor attribute - it belongs to computational graph terminology, where operations are represented as nodes in a graph, not as properties of tensors themselves. The distractors are all genuine tensor attributes: name (A) identifies a…

Deep Learning Basics

Question

Options

Aname (Logo)
Bshape (Dimensionality)
Ctype (Type)
Dnode (Node)

How the community answered

(30 responses)

A
7% (2)
B
3% (1)
C
13% (4)
D
77% (23)

Explanation

Option D is correct because node is not a tensor attribute - it belongs to computational graph terminology, where operations are represented as nodes in a graph, not as properties of tensors themselves.

The distractors are all genuine tensor attributes: name (A) identifies a tensor, which is especially relevant in frameworks like TensorFlow where tensors can be labeled; shape (B) describes the tensor's dimensionality (e.g., [batch, rows, cols]); and type/dtype (C) specifies the data type of elements (e.g., float32, int64).

Memory tip: Think of a tensor as a typed, shaped, named container for data - name, shape, type all describe the tensor itself. A "node" describes where computation happens in a graph, not what a tensor is.

Topics

#tensor attributes#tensor fundamentals#deep learning data structures#framework basics

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