Deep Learning - Deep Neural Network for Beginners Using Python - Multi-Class Classification

The video tutorial covers binary and multiclass classification techniques. It begins with an explanation of binary classification using logistic regression, where decisions are made based on a threshold. The tutorial then transitions to multiclass classification, explaining how the output layer should have as many neurons as there are classes. The Softmax function is introduced as a method to determine the most probable class by converting raw scores into probabilities. The video emphasizes the importance of using Softmax for formal decision-making in multiclass scenarios.

Describe how probabilities are used to make a final classification decision in a multiclass classification model.

What role do neurons in the output layer play in determining the class of an input in a multiclass classification scenario?