Artificial Neural Networks Made Simple: Learn & Create One in Excel (No Coding!)
A.I. is a hot topic in today's world and understanding its basics is more important than ever. In this video, I demonstrate how anyone can build a simple Artificial Neural Network using just Microsoft Excel—no programming needed! Watch as we demystify how neural networks learn, adjust weights, minimize errors, and recognize patterns in data. Key highlights include: ✅ How neurons, layers, and weights work together ✅ Visualizing the learning process in Excel ✅ Understanding the magic behind AI and machine learning Whether you're a beginner, a student, or just curious about AI, this hands-on, beginner-friendly guide will make neural networks easy to understand. Perfect for anyone looking to explore the foundations of AI without diving into code! The spreadsheet created in the video can be accessed in the link below: https://docs.google.com/spreadsheets/... 00:00 – Why Excel? 00:45 – Usual Multivariable Regression 02:15 – How an artificial neural network works 10:52 – Standardizing the input datasets 17:26 – Determining the hidden layer 19:12 – Activation functions: Sigmoid and ReLU 24:24 – Objective function (Sum of Square Errors) 26:32 – Optimization Algorithms and finding Global Minimum 31:15 – Analyzing results: comparing actual output values with predicted
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