Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: DNN What is Loss Function

The video tutorial explains the concept of true and predicted labels in binary classification, where the true label is either 0 or 1, and the predicted label is a probability between 0 and 1. It introduces the loss function used in this context, focusing on cases where the true label is 1 or 0. The loss is calculated using logarithms, with specific outcomes for correct and incorrect predictions. The tutorial concludes with a concise explanation of the binary cross entropy loss function, which is widely used in binary classification tasks.

Describe the loss function for binary classification when the true label is 0.

How is the binary cross entropy loss function mathematically represented?