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H13-311_V3.5 · Question #77

Which of the following options belong to Tensorflow concept? (Multiple Choice)

The correct answer is A. Tensor B. Variables C. Placeholder D. Operation E. Conversation. Note on the answer key: The listed correct answer (A, B, C, D, E) appears to contain an error. E (Conversation) is not a TensorFlow concept - the actual correct answers are A, B, C, D. --- TensorFlow's core computational model revolves around four foundational concepts: a…

Deep Learning Basics

Question

Which of the following options belong to Tensorflow concept? (Multiple Choice)

Options

  • ATensor
  • BVariables
  • CPlaceholder
  • DOperation
  • EConversation

How the community answered

(25 responses)
  • A
    100% (25)

Explanation

Note on the answer key: The listed correct answer (A, B, C, D, E) appears to contain an error. E (Conversation) is not a TensorFlow concept - the actual correct answers are A, B, C, D.


TensorFlow's core computational model revolves around four foundational concepts: a Tensor (A) is the primary data structure - a multi-dimensional array that flows through the graph; Variables (B) are mutable tensors used to store and update model parameters like weights and biases during training; Placeholders (C) are TF 1.x constructs that define input nodes for feeding external data (e.g., training batches) into the graph at runtime; and Operations (D) are the nodes in the computational graph that perform computations on tensors (e.g., tf.add, tf.matmul). Conversation (E) is not a TensorFlow concept - it likely appears as a distractor borrowed from NLP/chatbot terminology to test whether you know TF's actual vocabulary.

Memory tip: Think of TensorFlow's name itself - Tensor + Flow. Data (tensors) flows through a graph of Operations, stored in Variables, and fed via Placeholders. If a term doesn't relate to data flowing through a graph, it's not a core TF concept.

Topics

#TensorFlow Core Concepts#Computation Graph#Data Types and Variables#Operations

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