Neural Network Architecture in Machine Learning | Lesson 8

In the previous lesson, we understood how logistic regression works and how we can implement it.

In this lesson, we will understand the building blocks of a neural network, be introduced to different activation functions, understand the difference between shallow and deep neural networks, and become ready to use our software tools to develop a neural network.

🌟 Contents 🌟
💎 (00:00​​) Introduction
💎 (00:23​​) Overview of the Lesson
💎 (01:01​​) Neural Network Architecture in Machine Learning
💎 (32:45​​) Summary of the lesson

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