nerdexam
Huawei

H13-311_V3.5 · Question #339

What are the commonly used activation functions? (Multiple Choice)

The correct answer is A. sigmoid B. tanh C. relu. Sigmoid, tanh, and ReLU (Rectified Linear Unit) are the three foundational activation functions in neural networks - each introduces non-linearity that allows networks to learn complex patterns. Sigmoid squashes outputs to (0,1), making it useful for binary classification; tanh…

Deep Learning Basics

Question

What are the commonly used activation functions? (Multiple Choice)

Options

  • Asigmoid
  • Btanh
  • Crelu
  • Ddanish

How the community answered

(30 responses)
  • A
    77% (23)
  • D
    23% (7)

Explanation

Sigmoid, tanh, and ReLU (Rectified Linear Unit) are the three foundational activation functions in neural networks - each introduces non-linearity that allows networks to learn complex patterns. Sigmoid squashes outputs to (0,1), making it useful for binary classification; tanh squashes to (-1,1) and is zero-centered, which often helps gradient flow; ReLU simply outputs max(0, x) and is the most widely used today due to its computational efficiency and resistance to vanishing gradients. "Danish" (D) is not a mathematical function at all - it's a pastry, included as an obvious distractor.

Memory tip: Think STR - Sigmoid, Tanh, ReLU - the three classics. If an answer choice sounds like food, skip it.

Topics

#activation functions#sigmoid#tanh#ReLU

Community Discussion

No community discussion yet for this question.

Full H13-311_V3.5 Practice