CHAPTER 9 || Data Science || NEURAL NETWORKS|| Full basic concept explained ||

Welcome to the world of Neural Networks! In this tutorial, we’ll explore the foundations of one of the most powerful techniques in machine learning and deep learning. 🤖💡
In this video, we’ll cover:
🔑 Introduction to Neural Networks: Understand what neural networks are and their role in machine learning.
🧠 The Neural Network Structure: Dive into the components of a neural network and how they work together.
🔗 Connection Weights and the Combination Function: Learn about the importance of weights and how they influence model predictions.
📈 The Sigmoid Activation Function: Discover how the sigmoid function introduces non-linearity into the model.
🔄 Backpropagation: Understand the key algorithm for training neural networks by adjusting weights.
💻 An Application of a Neural Network Model: See how neural networks are applied to real-world problems.
🔍 Interpreting the Weights in a Neural Network Model: Learn how to analyze the learned weights and interpret model behavior.
Whether you're new to neural networks or looking to refine your skills, this video is a great resource to build a solid understanding!
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