Deep Learning - Crash Course 2023 - Common Network Configuration

The video tutorial covers common deep learning tasks in supervised learning, including binary classification, multiclass classification, and regression. It explains the typical network structures, activation functions, and loss functions for each task. The tutorial also discusses implementing these tasks using TensorFlow, with a focus on understanding cross-entropy loss.

What is the purpose of the softmax activation function in multiclass classification?

In regression tasks, what is the typical number of output neurons?

What loss function is preferred for regression tasks?