Artificial Intelligence & Machine Learning
Which of the following best describes Activation function?
Difficulty: Hard
About this MCQ
This Hard Artificial Intelligence & Machine Learning MCQ checks one syllabus fact.
The question is: “Which of the following best describes Activation function?”
The accepted answer is B. A mathematical function applied to a neural network node's output to introduce non-linearity.. A mathematical function applied to a neural network node's output to introduce non-linearity is the person body or term that satisfies Which of the following best describes Activation function option B Option A A type of deep neural network especially effective at processing grid-like data such as images does not match the stem it is a near-miss used to catch incomplete recall of A mathematical function applied to a neural network node's output to introduce non-linearity Option C A modeling error where a model is too simple to capture the underlying pattern in the data resulting in poor performance on both training and new data does not match the stem it is a near-miss used to catch incomplete recall of.
- A. A type of deep neural network especially effective at processing grid-like data such as images.
Why not A: “A type of deep neural network especially effective at processing grid-like data such as images.” is not correct. The accepted answer is B. A mathematical function applied to a neural network node's output to introduce non-linearity.. A mathematical function applied to a neural network node's output to introduce non-linearity is the person body or term that satisfies Which of the following best describes Activat
- B. A mathematical function applied to a neural network node's output to introduce non-linearity. ✓
- C. A modeling error where a model is too simple to capture the underlying pattern in the data, resulting in poor performance on both training and new data.
Why not C: “A modeling error where a model is too simple to capture the underlying pattern in the data, resulting in poor performance on both training and new data.” is not correct. The accepted answer is B. A mathematical function applied to a neural network node's output to introduce non-linearity.. A mathematical function applied to a neural network node's output to introduce non-linearity is the person body or term that satisfies Which of the following best describes Activat
- D. An individual measurable property or characteristic of the data used as input to a machine learning model.
Why not D: “An individual measurable property or characteristic of the data used as input to a machine learning model.” is not correct. The accepted answer is B. A mathematical function applied to a neural network node's output to introduce non-linearity.. A mathematical function applied to a neural network node's output to introduce non-linearity is the person body or term that satisfies Which of the following best describes Activat
Correct answer
B. A mathematical function applied to a neural network node's output to introduce non-linearity.
Explanation
A mathematical function applied to a neural network node's output to introduce non-linearity is the person body or term that satisfies Which of the following best describes Activation function option B Option A A type of deep neural network especially effective at processing grid-like data such as images does not match the stem it is a near-miss used to catch incomplete recall of A mathematical function applied to a neural network node's output to introduce non-linearity Option C A modeling error where a model is too simple to capture the underlying pattern in the data resulting in poor performance on both training and new data does not match the stem it is a near-miss used to catch incomplete recall of.
Source: Artificial Intelligence & Machine Learning Official Reference Guide
Tags: computer science, AI, machine learning, data science
Submitted by: MCQsHub Editorial
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