Tutorial 2: Step-by-Step Guide to Multi-Layer Neural Networks

This tutorial delves deep into building a multi-layer neural network from scratch. We start with a simple two-layer neural network using dense layers, where each neuron's output is computed as a weighted sum of the inputs plus a bias term. This foundational concept is crucial for understanding how data flows through neural networks, forming the basis for more complex architectures. Throughout the video, we break down each step, explaining how the layers are constructed, how the weights and biases are initialized, and how the activation functions transform the data. By the end of this tutorial, you'll have a solid understanding of the inner workings of a two-layer neural network and be equipped to build and train your own models. Whether you're a beginner eager to learn about neural networks or someone looking to refresh your knowledge, this tutorial offers clear explanations and practical insights to enhance your learning journey. Don't forget to like, subscribe, and hit the bell icon for more machine learning and neural network tutorials! #NeuralNetwork #MachineLearning #DeepLearning #AI #ArtificialIntelligence #DataScience #Programming #Coding #Python #Tutorial #TechEducation #DeepLearningTutorial