Deep Learning - Crash Course 2023 - Summary on Activation Functions

The video tutorial provides an overview of activation functions used in neural networks, including sigmoid, Relu, Selu, swish, and softmax. It explains the role of these functions in scaling data and generating outputs in the required range. The softmax function is highlighted for its use in multiclass classification tasks. The tutorial concludes with advice on selecting the right activation function for different tasks.

What are the various activation functions mentioned in the text?

How does an activation function help in scaling data?

Describe the role of activation functions in neural networks.

Explain the purpose of the softmax activation function.

What should one consider when choosing an activation function for a task?