Which of the following is NOT a common activation function used in neural networks? A) Tanh B) ReLU C) Matrix Multiplication D) Softmax

Understand the Problem

The question is asking to identify which option among the given choices is not an activation function typically used in neural networks. It requires knowledge of common activation functions.

More Information

Matrix multiplication is a mathematical operation performed on matrices, not an activation function. Activation functions like Tanh, ReLU, and Softmax are functions used in neural networks to introduce non-linearity.

Tips

A common mistake is to confuse processes or operations within neural networks with activation functions. It's essential to understand that activation functions are specific types of functions applied for non-linearity.

Sources

• Activation Functions in Neural Networks - Towards Data Science - towardsdatascience.com
• Introduction to Activation Functions in Neural Networks - DataCamp - datacamp.com