Artificial Intelligence & Machine Learning
Which of the following best describes Activation function?
- A. A type of deep neural network especially effective at processing grid-like data such as images.
- 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.
- D. An individual measurable property or characteristic of the data used as input to a machine learning model.
Correct answer
B. A mathematical function applied to a neural network node's output to introduce non-linearity.
Explanation
Activation function refers to a mathematical function applied to a neural network node's output to introduce non-linearity.