Deep Learning - Deep Neural Network for Beginners Using Python - Helper Functions (NN Implementation)

The video tutorial covers the sigmoid function and its derivative, often referred to as sigmoid prime. It explains how to calculate the error term in neural networks, using the difference between predicted and actual values, and how to implement this in a neural network model. The tutorial emphasizes understanding the mathematical foundation and practical application of these concepts in machine learning.

What is the significance of Y hat in the context of neural networks?

Describe the process of implementing a neural network as mentioned in the text.